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Annuncio Convegno Online
by Enrica Pirozzi 20 May '20

20 May '20

Carissimi nei pomeriggi dei giorni 1-2 e 8-9 Luglio si terrà in modalità online un workshop dal titolo: "Kick-Off Meeting of Prin 2017 Project: Stochastic Models for Complex Systems" (PRIN articolato nelle sedi di Lecce, Salerno e Napoli) dedicato alla presentazione dei primi risultati scientifici ottenuti nell'ambito del progetto. Per tutti i dettagli vi invitiamo a collegarvi al sito dedicato seguendo il link qui sotto: https://sites.google.com/view/kick-off-meeting/home Cari saluti Roberta Schiattarella, Mariella Longobardi, Nello Buonocore, Igia Caputo, Enrica Pirozzi. -- Enrica Pirozzi Dipartimento di Matematica e Applicazioni Universita' di Napoli FEDERICO II Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY Tel. 081 675634 https://www.docenti.unina.it/ENRICA.PIROZZI

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Posizione RTD-B in Machine Learning presso la Scuola IMT Lucca
by Irene Crimaldi 20 May '20

20 May '20

Caro Collega, la Scuola IMT Lucca (www.imtlucca.it) sta valutando l'opportunità di bandire a breve una posizione di ricercatore a tempo determinato di tipo B nell'area del Machine Learning. Dato che il tema è affrontato da varie comunità scientifiche, il settore scientifico disciplinare nel quale bandire verrà scelto a valle della raccolta di espressioni di interesse. Chiunque fosse interessato alla posizione di cui sopra è pregato di inviare al decano, Prof. Rocco De Nicola (rocco.denicola(a)imtlucca.it) un cv e un breve *statement* motivazionale, *preferibilmente entro il 15 giugno 2020.* Di seguito riporto il profilo che è stato recentemente deliberato dagli organi della Scuola. Pregherei di inoltrare questo messaggio a chiunque fosse a conoscenza di potenziali interessati. Rimango a disposizione per qualsiasi altro dettaglio. Cari saluti, Irene Crimaldi --------PROFILO: L'assunzione di un esperto di Machine Learning è finalizzata ad accrescere le competenze sui metodi quantitativi per lo sviluppo di modelli di sistemi dinamici e alla loro previsione, regolazione e ottimizzazione, della Scuola IMT. Questa figura da un lato alimenterà l’arsenale di competenze metodologiche della Scuola e dall'altro lato sarà funzionale a fornire strumenti quantitativi alle aree dell'economia e del management nonché dell'analisi e gestione del patrimonio, delle attività e dei fenomeni culturali. Il ricercatore, oltre a consolidate conoscenze ed ottime pubblicazioni nel settore del machine learning, con particolare riferimento alle tematiche dell’apprendimento basato su reti neurali e alberi decisionali, dell’identificazione di sistemi dinamici, degli algoritmi di ottimizzazione, della regressione e all’analisi statistica multivariata, dovrà dimostrare la capacità di applicare le proprie competenze a problemi reali e di collaborare in attività di ricerca di tipo multidisciplinare.

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Borse di dottorato in area Statistica / Data Science presso il Politecnico di Milano
by Laura Maria Sangalli 19 May '20

19 May '20

Prego di dare la massima diffusione presso i potenziali interessati ITA E' uscito il bando di ammissione al 36esimo ciclo di dottorato presso il Politecnico di Milano, con scadenza il ** 29 Maggio, ore 14 ** http://www.dottorato.polimi.it/fileadmin/files/dottorato/concorso_linkweb/B… Sono disponibili varie borse in area Statistica / Data Science. Nell'ambito del dottorato in Metodi e Modelli Matematici per l'Ingegneria sono disponibili 8 borse libere, per le quali i candidati possono proporre progetti in area Statistica / Data Science Contatti: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Nell'ambito del dottorato in Data Analytics and Decision Sciences sono disponibili le borse - "Patient representation methods for risk stratification in oncology" Contatto: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contatto: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contatto: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contatti: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contatto: laura.sangalli(a)polimi.it ENGLISH: Several fellowships are available for a PhD in the area of Statistics / Data Science at Politecnico di Milano, Italy: Call: http://www.dottorato.polimi.it/en/ Deadline for applications: 29 May 2020 at 14:00, Italian time Within the PhD program in Mathematical Models and Methods in Engineering 8 fellowships are available in the generic field of Mathematics and Statistics, that can be targeted to Statistics / Data Science Contacts: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Within the PhD program in Data Analytics and Decision Sciences fellowships on the following topics are available: - "Patient representation methods for risk stratification in oncology" Contact: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contact: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contact: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contacts: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contact: laura.sangalli(a)polimi.it —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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2020/21 PhD Programs at the IMT School for Advanced Studies Lucca
by Irene Crimaldi 19 May '20

19 May '20

*2020/21 PhD Programs at the IMT School for Advanced Studies Lucca* Deadline for applications – July 10th 2020, 12 pm CEST Applications are now being accepted for the 2020/21 PhD Programs at the IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the six Schools of Excellence in Italy and one of the highest rated graduate schools in Europe according to the most recent U-Multirank survey. Highly motivated candidates from all disciplines are invited to apply for one of the *32 fully-funded positions.* The 32 scholarships are equally divided between the two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage. *Economics, Networks and Business Analytics* is one of the four field-specific tracks offered and is under the “Systems Science” PhD Program. This Track provides participants with a solid knowledge on modern analytical methods in economics and management. With its multidisciplinary approach, the track is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate the new generation of economists, scientists and practitioners with distinctive capabilities in analyzing, interpreting, and managing complex socio-economic systems. Graduates will be trained to become researchers and decision makers in academia, policy and industry by integrating knowledge at the boundary of Economics, Statistical Physics, Computer and Social Sciences with the unifying language of Mathematics and Statistics. Close associations with a selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new analytical techniques from practical problem solving. Students are involved in the analysis of real world high dimensional data, in collaboration with companies and institutions. During their doctoral studies, students are encouraged to carry out their research with the School’s Research Units. ENBA students also have the possibility of completing their theses under the joint supervision (Double-degree) with KU Leuven or the University of Alicante. Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis, design and management problems within the broad framework of systems analysis in economic, social, scientific, technological and cultural domains. Specialized faculty and staff create a network that provides key guidance and support throughout the PhD Program. Working closely with faculty, both in the classroom and in the development of research, students reach the highest levels of scholarly achievement. IMT School PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when approaching these problems, even in disciplines outside of their primary field of research. All students are based in the recently restored San Francesco complex, *a fully integrated Campus* in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural,professional and social environment for our doctoral program. Eligible students, in addition to *free room and* *board,* will also receive a *research scholarship which amounts to approximately €15,300/year. *The scholarships are *fully-funded for up to four years,* with a possibility of graduating after the third year. The PhD Programs at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements. Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe. To find out more about the School, the admission requirements and how to apply, please visit the following link: https://www.imtlucca.it/en/phd/information-for-students *Deadline for applications – July 10th 2020, 12 pm CEST* Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.

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Call of Interest on High-Dimensional Networks Econometrics
by Roberto Casarin UNIVE 18 May '20

18 May '20

*Advertiser: Department of Economics, Ca' Foscari University Venice (Università Ca’ Foscari)** **Field(s) of specialization: Econometrics* Position type(s): Research Assistant Target date for applications: 25 May 2020 Application deadline: 31 May 2020 (accepting applications) CALL OF INTEREST POSITIONS AS RESEARCH FELLOW AT ITALIAN UNIVERSITIES: University of Bologna, *Ca' Foscari University*, Free University of Bozen-Bolzano Under the Italian PRIN Project entitled “Hi-di network econometric analysis of high dimensional models with network structures in macroeconomics and finance – PROT. 2017TA7TYC” funded by the Italian Ministry of Education, the Departments of Economics at the University of Bologna, the *Department of Economics of the Ca’ Foscari University of Venice* and the Faculty of Economics and Management at Free University of Bozen-Bolzano are opening a call of interest for three positions as Research Fellow (one position for each university). The positions will be funded by the project up to 24 months. The research project covers the following topics: *(i) Development of novel multivariate econometric models and methods able to deal with network effects and to take into account time varying relationships. Attention will be paid on how latent factors drive economic systems and are subject to instability. Their roles will be studied and compared in the pre- and post-coronavirus era.** * *(ii) Analysis of interconnected networks: either physical or intangible networks, observed or estimated. Results will expand academic knowledge on statistical modelling of network event data in a broad range of areas including, but not limited to, social media information diffusion, economic/financial crises contagion and epidemic/disease spread phaenomena.** * (iii) Economic impact of uncertainty: uncertainty is expected to act as a key driving factor in the aftermath of the covid-19 shock and the focus will be also on the policy actions necessary at the macro level to offset the economic consequences of a shock of size never experienced by world economies after WW2. Interested researchers can express their willingness to apply not later than 31st May 2020. Applications should include the CV of the candidate a short research proposal related to the topics covered by the project, and the indication of the University where the research activity will be carried out. For further information please contact: *- Monica Billio (billio(a)unive.it) - Department of Economics of the Ca’ Foscari University of Venice** * - Giuseppe Cavaliere (giuseppe.cavaliere(a)unibo.it) - Departments of Economics at the University of Bologna - Francesco Ravazzolo (francescoravazzolo(a)unibz.it) - Faculty of Economics and Management at Free University of Bozen-Bolzano -- Roberto Casarin, PhD Professor of Econometrics University Ca' Foscari, Venice Address: San Giobbe 873/b 30121 Venezia, Italy Phone: +39 041.234.91.49 Web: http://sites.google.com/view/robertocasarin/ IMEF: http://www.unive.it/imef VERA: http://www.unive.it/vera ORCID: https://orcid.org/0000-0003-1746-9190 -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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Webinar JACOB
by Pierpaolo De Blasi 16 May '20

16 May '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/research/webinars/> Venerdì 22 Maggio 2020, alle ore 12:00, si terrà il seguente webinar: ------------------------------------------------ Pierre JACOB (Harvard University) *Unbiased Markov chain Monte Carlo with couplings* Abstract: Various tasks in statistics involve numerical integration, for which Markov chain Monte Carlo (MCMC) methods are state-of-the-art. MCMC methods yield estimators that converge to integrals of interest in the limit of the number of iterations. This iterative asymptotic justification is not ideal; first, it stands at odds with current trends in computing hardware, with increasingly parallel architectures; secondly, the choice of "burn-in" or "warm-up" is arduous. This talk will describe recently proposed estimators that are unbiased for the expectations of interest while having a finite computing cost and a finite variance. They can thus be generated independently in parallel and averaged over. The method also provides practical upper bounds on the distance (e.g. total variation) between the marginal distribution of the chain at a finite step and its invariant distribution. The key idea is to generate "faithful" couplings of Markov chains, whereby pairs of chains coalesce after a random number of iterations. This talk will provide an overview of this line of research. (joint work with John O'Leary, Yves Atchadé) Paper at: https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12336 ------------------------------------------------ Chiunque volesse collegarsi al webinar è pregato di inviare una email entro mercoledi 20 Maggio a pierpaolo.deblasi(a)unito.it Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Pierpaolo De Blasi --- University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Ph.D. position in Mathematical Finance at Bielefeld University
by Giorgio Ferrari 15 May '20

15 May '20

Dear All, this is to inform about a *Ph.D. position in Mathematical Finance* (in particular on the theory of stochastic optimal control and optimal stopping with financial and economic applications) at Bielefeld University within the "Bielefeld Graduate School in Economics and Management" ( http://www.bigsem.de/ ) *DEADLINE* for applications: *June 05* *DETAILS* about the post and the application procedure can be found at: <https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/…> https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/… The successful candidate will be based at the Center for Mathematical Economics (IMW) of Bielefeld University ( https://www.uni-bielefeld.de/imw/ ) and will work under my supervision. All the best wishes, Giorgio Ferrari -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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RMTA 2020 New York May 25-29
by Davide Macera 14 May '20

14 May '20

ricevo ed inoltro: Dear colleague, we hope that you are in good health.You have registered for the conference "Random Matrices and Their Applications" (RMTA) which was supposed to take place in New York, May 25-29 2020. Due to the Covid-19 outbreak, the conference will be reorganized online. You can check the tentative schedule on the new website: https://www.ceremade.dauphine.fr/dokuwiki/mega:e-rmta-2020 <https://slack-redir.net/link?url=https%3A%2F%2Fwww.ceremade.dauphine.fr%2Fd…> We apologize for those of you who were supposed to present a poster: the poster session has been cancelled.Meanwhile, if you are interested to participate to the online RMTA conference, please register on the new website. Registration is free but mandatory to get the access details. We are looking forward to meeting you online!Best regards,Paul Bourgade, Djalil Chafaï, Alice Guionnet, Jamal Najim.

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COFUND: vacancies for PhD positions
by Matteo Quattropani 14 May '20

14 May '20

Ricevo ed inoltro. MQ 14 PhD Positions in Stochastics and Algorithmics in NETWORKS (the Netherlands) The NETWORKS project is a collaboration of world-leading researchers from four institutions in The Netherlands: TU Eindhoven <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…>, University of Amsterdam <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fyoutu.be%…>, Leiden University <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…> and the Centrum Wiskunde & Informatica (CWI) <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…>. Research in NETWORKS focuses on stochastics and algorithmics for network problems. NETWORKS offers a highly stimulating research environment and an extensive training program for PhD students. Recently NETWORKS was awarded a COFUND grant the Marie Skłodowska-Curie Actions, funded by the European Commission. The grant allows NETWORKS to expand its activities by opening positions for an additional 14 PhD students. As a NETWORKS-COFUND PhD student you can define your own PhD project in one of the research areas mentioned above, in collaboration with your NETWORKS supervisors. Application deadline 31 May 2020 Contract full time employment contract for 4 years Salary indication from €2.325 to €2.972 in 4 years Location The Netherlands (Amsterdam, Eindhoven, Leiden) Are you interested in the stochastics and algorithmics behind network problems? And would you like to be part of this project with its many activities? Then go to https://www.thenetworkcenter.nl/Open-Positions/openposition/29/14-PhD-Posit… <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thene…> On this website you can find an extensive information package about these positions, including further details about the application procedure.

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Bando dottorato congiunto Politecnico di Torino, Università di Torino e Indam (con link)
by Enrico Bibbona 14 May '20

14 May '20

Cari colleghi, vi chiedo di far circolare la notizia che il Politecnico di Torino, congiuntamente con L'Università di Torino e l'Indam offre 8 posizioni di dottorato. La domanda deve pervenire entro il 30 Aprile. http://dottorato.polito.it/en/call_for_applications Applicazioni di studenti interessati alla probabilità e alla statistica sono naturalmente benvenute. Cordiali saluti, Enrico Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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Probability Webminar: Saeda Marello (University of Bonn) [Padova 22/05, 11.00]
by alessandra bianchi 13 May '20

13 May '20

Dear Colleagues, We would like to invite you to the following Probability seminar that will take place on May 22 at 11 by the zoom platform. ________________________________________________________ Speaker: Saeda Marello (University of Bonn) Title: Metastability for the randomly dilute Curie-Weiss model with Glauber dynamics". 22 MAY (Friday) - 11:00 - zoom link: TBA The link and password to access the seminar will be available the day of the seminar at the following webpage https://www.math.unipd.it/news/metastability-for-the-randomly-dilute-curie-… Abstract: The Curie-Weiss model (CW) is a classical model of a ferromagnetic spin system in which all spins interact with each other, namely the interaction graph is complete. The randomly dilute Curie-Weiss model (RDCW) is a generalisation of the CW in which the deterministic interaction between pairs of spins is replaced by iid random coefficients. It can be also viewed as an Ising model on a random graph. We will show results in the case where the interaction coefficients are iid Bernoulli random variables with fixed parameter p, i.e. the interaction graph is an Erdős–Rényi random graph. After giving an introduction on metastability and on the well known results for the CW, we will focus on how the mean metastable hitting time in the RDCW can be approximated by that of the CW, asymptotically as the system size grows. The main methods we used are potential theoretic approach to metastability and concentration of measure inequalities. Based on joint work with Anton Bovier and Elena Pulvirenti. -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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Call for Expression of Interest: PhD in probability theory Göttingen-Strasbourg
by Vlada Limic 13 May '20

13 May '20

Dear colleague, This is to announce an opportunity for doctoral studies in probability theory starting Fall 2020, co-mentored by Anja Sturm (Göttingen) and Vlada Limic (Strasbourg). The research topics are in theoretical probability, more precisely in the area of near-critical random graphs and related processes. Interested candidates with strong mathematics research potential are encouraged to contact us, preferably by email, A. Sturm and V. Limic http://www.stochastik.math.uni-goettingen.de/~asturm/ https://irma.math.unistra.fr/~limic/ -- Kiva.org - Loans That Change Lives

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Fwd: Online Open Probability School is starting next week
by Faggionato, Alessandra 12 May '20

12 May '20

Buongiorno, inoltro con piacere l'annuncio per una scuola di probabilità online. Saluti Alessandra ---------- Forwarded message --------- Da: Omer Angel <angel(a)math.ubc.ca> Date: mar 12 mag 2020 alle ore 06:17 Subject: Online Open Probability School is starting next week To: <faggiona(a)mat.uniroma1.it> Dear Alessandra, Our apologies if you receive multiple versions of this message. This is a second general announcement of OOPS: the Online Open Probability School, which will start next week (May 18), and will continue through most of the summer (https://www.math.ubc.ca/Links/OOPS). The school will feature a sequence of mini-courses on diverse topics in probability and related topics. All courses will take place online, and are open to all interested participants. Most courses will consist of three 1-hour lectures, though some will have longer lectures. Some courses will be accompanied by an introductory lecture or short research talks on topics related to the course. For information on these and on any suggested readings related to the courses please visit the above website. Please advertise OOPS to anyone who may be interested in the courses. They may also join our mailing list at https://mailman-mail5.webfaction.com/listinfo/oops . The schedule for the first few weeks can be found on the website. Details about the first three mini-courses appear below. 1. Date and Time: May 18,19,21, 16:00 (UTC) Speaker: Jean-Christoph Mourrat Subject: Rank-one matrix estimation and Hamilton-Jacobi equations 2. Date and time: May 25,27,28, 16:00 (UTC) Speaker: Gady Kozma Subject: Critical and near-critical percolation 3. Date and time: June 1,2,4, 16:00 (UTC) Speaker: Nina Gantert Subject: Branching random walks: some recent results and open questions Please don't hesitate to contact any of us with questions, suggestions or ideas. Best wishes, Omer, On behalf of the organizers: Louigi Addario-Berry (louigi.addario(a)mcgill.ca) Omer Angel (angel(a)math.ubc.ca) Alex Fribergh (fribergh(a)dms.umontreal.ca) Sarai Alma Hernandez Torres (saraiht(a)math.ubc.ca) Thomas Hughes (hughes(a)math.ubc.ca) Mathav Murugan (mathav(a)math.ubc.ca) Edwin Perkins (perkins(a)math.ubc.ca) Lea Popovic (lea.popovic(a)concordia.ca) -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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bando di selezione al Center for Analysis Decisions and Society
by Antonio DI CRESCENZO 11 May '20

11 May '20

Cari colleghi, il Center for Analysis Decisions and Society, centro di ricerca congiunto di Human Technopole e del Politecnico di Milano, ha pubblicato un bando per la selezione di Group Leader. Trovate il bando qui: https://www.humantechnopole.it/en/join-us?p_p_id=JobViewer_INSTANCE_axOoepe… <https://www.humantechnopole.it/en/join-us?p_p_id=JobViewer_INSTANCE_axOoepe…> Potete pubblicizzare il bando ai vostri contatti potenzialmente interessati. Cordiali saluti, Antonio Di Crescenzo

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Webinar CASTILLO
by Pierpaolo De Blasi 08 May '20

08 May '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/research/webinars/> Venerdì 15 Maggio 2020, alle ore 12:00, si terrà il seguente webinar: ------------------------------------------------ Ismael CASTILLO (Sorbonne Université Paris) *Multiscale analysis of Bayesian CART* Abstract: This work affords new insights about Bayesian CART in the context of structured wavelet shrinkage. We show that practically used Bayesian CART priors lead to adaptive rate-minimax posterior concentration in the supremum norm in Gaussian white noise, performing optimally up to a logarithmic factor. To further explore the benefits of structured shrinkage, we propose the g-prior for trees, which departs from the typical wavelet product priors by harnessing correlation induced by the tree topology. Building on supremum norm adaptation, an adaptive nonparametric Bernstein–von Mises theorem for Bayesian CART is derived using multiscale techniques. For the fundamental goal of uncertainty quantification, we construct adaptive confidence bands with uniform coverage for the regression function under self-similarity. (joint work with Veronika Rockova, University of Chicago). ------------------------------------------------ Chiunque volesse collegarsi al webinar è pregato di inviare una email entro mercoledi 13 Maggio a pierpaolo.deblasi(a)unito.it Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Pierpaolo De Blasi --- University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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May 18th 2020: Prof. Giorgio Ferrari 's online seminar at University of L'Aquila
by Fabio Antonelli 08 May '20

08 May '20

------------------------------------------------ UNIVAQ RANDOM TALKS ________________________________ Online talks on Probability and Applications at DISIM - UNIVERSITÁ DI L'AQUILA Using Zoom Videoconference system Monday 18th 2:30 p.m. Prof. Giorgio Ferrari - Bielefeld University TITLE: Singular Control of the Drift of a Brownian System Everybody is welcome, please subscribe by the following form The day of the seminar, participants will receive an invitation by e-mail [https://lh5.googleusercontent.com/CWhLsT4lqNWzIjVe3mEN_7Iq4wxE9g204khy6mYxf…]<https://docs.google.com/forms/d/e/1FAIpQLSclukp_QZeujS15nbL3IvtRKGJWvHkx-E5…> UNIVAQ RANDOM TALKS 3 - UNIVERSITÁ DI L'AQUILA<https://docs.google.com/forms/d/e/1FAIpQLSclukp_QZeujS15nbL3IvtRKGJWvHkx-E5…> ONLINE May 18th 2020 - 2:30 p.m. Prof. Giorgio Ferrari - Bielefeld University: Singular Control of the Drift of a Brownian System docs.google.com No need to subscribe, if, in a previous form, you asked to be always included ABSTRACT: Consider a standard Brownian motion whose drift can be increased or decreased in a possibly singular manner. The objective is to minimize an expected functional involving the time-integral of a running cost and the proportional costs of adjusting the drift. The resulting two-dimensional degenerate singular stochastic control problem with interconnected dynamics is solved by combining techniques of viscosity theory and free boundary problems. We provide a detailed description of the problem's value function and of the geometry of the state space, which is split into three regions by two monotone curves. Our main result shows that those curves are continuously differentiable with locally Lipschitz derivative and solve a system of nonlinear ordinary differential equations. The optimal control is also constructed (weakly) under further specifications of the model. This talk is based on a joint work with Salvatore Federico (University of Siena) and Patrick Schuhmann (Bielefeld University). --------------------------------- Fabio Antonelli DISIM - Università di L'Aquila

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Reminder of Junior Professorship (W1) in Mathematical Economics at Bielefeld University: deadline MAY 15
by Giorgio Ferrari 08 May '20

08 May '20

Dear All, this is a gentle reminder of a *Junior Professorship (W1) in Mathematical Economics *at Bielefeld University. *Deadline for applications is May 15.* All the best wishes, Giorgio Ferrari %%%%%%%%%%%%%%%%%%%% The *Center for Mathematical Economics *(Institut für Mathematische Wirtschaftsforschung, IMW) and the *Faculty of Business Administration and Economics* at Bielefeld University are seeking to fill the following position as soon as possible: *Junior Professorship (W1) in Mathematical Economics* We are looking for outstanding, internationally visible candidates in research and teaching who are qualified by excellent publications in one of the research areas of the Center for Mathematical Economics. Interdisciplinary research and teaching across faculties traditionally plays an important role at the Center for Mathematical Economics. We expect participation in the existing and planned joint third-party funded projects of the Center, the Faculty of Economics and Business Administration, and other faculties, especially in the interdisciplinary context. The connection to the Collaborative Research Center 1283 `` Taming Uncertainty and Profiting from Randomness ... ’’ plays an important role for this professorship. We are looking for young researchers who can make a significant contribution to the economic sub-projects of the Collaborative Research Center; potential topics include dynamic game theory (differential games, mean-field games) as well as the analysis of financial markets (equilibrium models in continuous time), industrial dynamics (dynamic I.O.) or complex decisions under uncertainty (e.g. recursive dynamic utility). Teaching is to be provided in the research-oriented Master and Bachelor programs of the Faculty of Economics and Business Administration, especially in Mathematical Economics. The prerequisites for the position are a university degree, pedagogical aptitude and the special ability for scientific work, which is usually demonstrated by the outstanding quality of a doctorate. The position is initially for three years, and can be extended to six years after a positive evaluation. Applications from suitably qualified handicapped and severely handicapped persons are explicitly encouraged. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family-friendly university. The university welcomes applications from women. Applications are handled according to the state's equal opportunity statutes. Applications with the usual documents (curriculum vitae, copies of certificates, list of publications with identification of up to 10 most important publications, a 2-page research and teaching concept) should preferably be submitted till *May 15, 2020* to: Bielefeld University Center for Mathematical Economics (IMW) Frau Buiwitt-Robson Postfach 10 01 31 33501 Bielefeld or by e-mail as a single PDF file to: IMW(a)uni-bielefeld.de Please refrain from submitting application folders and submit photocopies only, as the application documents will be destroyed at the end of the selection procedure. Please note that risks to confidentiality and unauthorized access by third parties cannot be ruled out when communicating via unencrypted e-mail. Information on the processing of personal data can be found at: https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/… -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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15 PhD scholarships in Mathematical Sciences - University of Padova, Italy - Deadline June 16, 2020 - 13:00 (CEST)
by Tiziano Vargiolu 08 May '20

08 May '20

Fifteen PhD scholarships (9 funded by the University of Padova, 4 funded by external public/private bodies, 1 "industrial doctorate" and 1 higher-level apprenticeship contract) are available at University of Padova for candidates interested in the area of Mathematical Sciences (start of activities: October 1st, 2020). Eligibility The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years' duration (applicants can get their qualification no later than 30th September 2020). Admission is decided on a preselection, based on qualifications, and an oral examination. Grant awarded The annual grant will be of euros 15,343.28. The grant will be awarded for three years and it will be subject to satisfactory progresses evaluated on a yearly basis. How to apply The call is published (deadline June 16, 1 pm CEST) at the page http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie English version at the page http://www.unipd.it/en/node/1053 Applications are only accepted online using the link indicated in the call See https://dottorato.math.unipd.it/prospective-students Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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9 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline June 16, 2020 - 13:00 (CEST)
by piacent 07 May '20

07 May '20

Nine PhD scholarships (7 funded by the University of Padova and 2 funded by the Fondazione Cassa di Risparmio di Padova e Rovigo of which 1 is a fully funded grant reserved to foreign, non-italian, graduate students) are available at University of Padova for candidates interested in the area of Statistical Sciences (start of activities: October 1st, 2020). Eligibility The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2020). Admission is decided on the basis of qualifications only and does not require an entry examination. Grant awarded The annual grant will be of euros 18,052.04 (gross amount). This is an increased scholarship with respect to the standard University of Padova scholarship of euros 15,343.28. The additional amount of euros 2,708.76 is funded by the Department of Statistical Sciences "Department of Excellence" grant, financed by the Italian Ministry of Education, Universities and Research (MIUR). The grant will be awarded for three years and it will be subject to satisfactory progresses evaluated on a yearly basis. How to apply The call is published (deadline June 16, 1 pm CEST) at the page http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie English version at the page http://www.unipd.it/en/node/1053 Please, note that the curriculum has to be written by filling the template CV_XXXVI available from the Course web page http://www.stat.unipd.it/ricerca/ammissione and uploading the filled template in the online procedure. Applications are only accepted online using the link indicated in the call See http://www.stat.unipd.it/ricerca/ammissione or contact phd(a)stat.unipd.it Kindest regards, PhD Secretariat on behalf of prof. Massimiliano Caporin Coordinator of the PhD Course in Statistics University of Padova - Italy *We apologize for cross posting *

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ITN ETN funded PhD positions on large scale optimization for machine learning - University of Genova, Italy
by villa silvia 04 May '20

04 May '20

3 PHD positions to work broadly on large scale optimization for machine learning, supported by an ITN ETN project (https://trade-opt-itn.eu <https://trade-opt-itn.eu/>). All the projects will aim at developing theoretical and algorithmic ideas that can explain the success of current systems as well as suggest the development of novel practical and efficient solutions. Candidates must have strong mathematical and computational skills. Specific topics of interest include but are not limited to: • the development of optimization methods (stochastic, accelerated, distributed , parallel) for non-smooth and possibly non convex problems • exploitation of data geometric structure to develop efficient optimization and machine learning algorithms • unsupervised features learning from multivariate time series (in collaboration with the SME CAMELOT biomedical systems, https://www.camelotbio.com <https://www.camelotbio.com/>) While the emphasis is on methodological and computational aspects, the candidates will have the opportunity to work in close collaborations on a number of applications, in connections with the industrial partners of the project. All the research activities will be carried out at the University of Genova within a newly formed machine learning center across the Mathematics and Computer Science departments. The center counts over 10 faculties and 30 between PhD students + postdocs and provides a lively and dynamic work environment. Genova sits amidst of the Italian riviera and offer excellent life quality. PhD salaries are commensurated to international standards, including mobility and family allowance, according to Marie Curie actions. All position should start November 2020 (delays due to COVID19 are possible). Applicants need to apply to an open call that will be available by end of may. Eligibility criteria • Candidates must – at the date of recruitment – have obtained the MSc degree entitling you to embark on a doctorate • Candidates must – at the date of recruitment – be within the first four years (full-time equivalent research experience) of your research career and not have a doctoral degree • Mobility rule: candidates must not have resided or carried out your main activity (work, studies, etc.) in the country of the host organisation you are applying (i.e. Italy) for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not taken into account. Please make sure you comply with the eligibility criteria before applying. You need to be able to provide documentation proving your eligibility for recruitment. You can read the full description of eligibility criteria in the Information Note for ITN Fellows. At this point, we recommend prospective candidates to make an expression of interest by filling this https://docs.google.com/forms/d/e/1FAIpQLSddINJ-ox1MySLYyuTKDWvkYnmuBNkWSdA… <https://docs.google.com/forms/d/e/1FAIpQLSddINJ-ox1MySLYyuTKDWvkYnmuBNkWSdA…> within the ***31st of May***. ____________________________________________ A total of 15 PhD positions are funded by the project, to see them all please check: https://euraxess.ec.europa.eu/jobs/516136 <https://euraxess.ec.europa.eu/jobs/516136>

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Fwd: PhD position in Statistics at KU Leuven
by fcollet＠math.unipd.it 04 May '20

04 May '20

Ricevo ed inoltro Buona giornata, Francesca Collet ---------------------------------------------- PhD position in statistics at KU Leuven Project The research group ORSTAT of KU Leuven (Belgium) has a vacancy for a full-time PhD scholarship for the period of September 1, 2020 until September 1, 2024, for scientific research in the field of statistics. The candidate will work in the area of survival analysis. He/she will work under the supervision of Ingrid Van Keilegom. Profile Candidates should hold a Master's degree in (bio)statistics, mathematics, or equivalent. An average degree of "distinction" during preliminary studies is required, as well as an appropriate command of written and spoken English. Offer We offer an employment as full-time doctoral scholar for 1 year, renewable till max. 4 years after positive evaluation. You will find a dynamic and pleasant working environment, in a group that is actively involved in scientific research at the highest international level. Application Applicants should submit their expression of interest to Ingrid Van Keilegom (ingrid.vankeilegom(a)kuleuven.be) together with their CV, letter of motivation, a list of passed courses and grades, copies of diplomas and coordinates of 2 referees as soon as possible and before May 15, 2020. ---------------------------------------------- Ingrid Van Keilegom ORSTAT, KU Leuven, HOG 05.112 Naamsestraat 69 3000 Leuven, Belgium +32 16 32 87 44 ingrid.vankeilegom(a)kuleuven.be<mailto:ingrid.vankeilegom@kuleuven.be> https://feb.kuleuven.be/ingrid.vankeilegom ----------------------------------------------

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New deadline for postdoc position (assegno di ricerca) at Luiss
by Fausto Gozzi 03 May '20

03 May '20

Dear colleagues, this is to inform you that the deadline of the postdoc call mentioned in the email below has been extended to June 16, 2020 at 2pm. All the best Fausto Gozzi >Date: Fri, 17 Apr 2020 08:19:13 +0200 >To: random(a)dm.unipi.it >From: Fausto Gozzi <faustogozziluiss(a)gmail.com> > > >Dear colleagues, > >this email is to inform about the following postdoc call at Luiss University >(THREE years) entitled > >"The Time-Space Evolution of Economic Activities: Mathematical >Models and Empirical Applications ' (scadenza 10/05/2020) > >https://economiaefinanza.luiss.it/ricerca/assegni-di-ricerca/bandi-di-conco… > > > >https://economiaefinanza.luiss.it/sites/economiaefinanza.luiss.it/files/Ban… > > >The postdoc is partly financed by a PRIN 2017 project. > >All the best > > >Fausto Gozzi > >-- > >Fausto Gozzi >Dipartimento di Economia e Finanza >LUISS - Guido Carli >Viale Romania, 32 >00197 Roma >Italy >tel 06.85225723 (office) >FAX 06.86506513 >e-mail: fgozzi(a)luiss.it >webpage: http://docenti.luiss.it/gozzi/ > >old address, sometimes still used: > >Fausto Gozzi >Dipartimento di Matematica >Universita' di Pisa >Largo Bruno Pontecorvo n.5 >56127 Pisa >Italy >tel 050/2213270 >e-mail: gozzi(a)dm.unipi.it >_______________________________________________ >Random mailing list > >Per informazioni e per disiscriversi: >https://fields.dm.unipi.it/listinfo/random >Per contattare gli amministratori: random-admin(a)fields.dm.unipi.it >Per inviare un messaggio alla mailing list: Random(a)fields.dm.unipi.it >Archivio dei messaggi inviati: https://fields.dm.unipi.it/pipermail/random Fausto Gozzi Dipartimento di Economia e Finanza LUISS - Guido Carli Viale Romania, 32 00197 Roma Italy tel 06.85225723 (office) FAX 06.86506513 e-mail: fgozzi(a)luiss.it webpage: http://docenti.luiss.it/gozzi/ old address, sometimes still used: Fausto Gozzi Dipartimento di Matematica Universita' di Pisa Largo Bruno Pontecorvo n.5 56127 Pisa Italy tel 050/2213270 e-mail: gozzi(a)dm.unipi.it

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Post-Doc Position in Freiburg: Linking Finance and Insurance
by Claudio Fontana 01 May '20

01 May '20

Un'interessante possibilità di post-doc all’Università di Friburgo (v. sotto). Buon primo maggio a tutti! Claudio Fontana > Applications are invited for a postdoc position at the Department of Mathematical Stochastics, University of Freiburg. > > The successful candidate will hold a Ph.D. and has an excellent profile in mathematical finance, insurance mathematics, stochastic processes or a related field. The position is funded by a DFG research grant and will study fundamental valuation questions in the area of insurance contracts linked to financial market. The excellent research environment in Freiburg offers optimal scientific conditions for deep and highest-level research. > > The contract is for an initial time of two years, an extension is possible. Review of applications begins immediately. The starting point is quite flexible, but we hope to start the work on this exciting project in summer. > For inquiries please contact Prof. Dr. Thorsten Schmidt (thorsten.schmidt at stochastik.uni-freiburg,de) Please send your application in PDF format (cover letter, CV, research statement) per email to Monika Hattenbach (htb at stochastik.uni-freiburg.de <http://stochastik.uni-freiburg.de/>) with reference „Post Doc Position“. > Additionally, we ask for two letters of reference which should be sent directly to the same address.

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Two years postdoc grant at Luiss
by Sara 30 Apr '20

30 Apr '20

Dear colleagues, please circulate the following information about the postdoc grant. With my best wishes, Sara ----------------------------------------------------------------------------------- Here is the link to the call: https://economiaefinanza.luiss.it/ricerca/assegni-di-ricerca/bandi-di-conco rso-2020 and the description: RESEARCH PROJECTS Name of the research project Energy and capacity Head(s) Prof.ssa Sara BIAGINI Summary description of the project The goal of this two years project is the study of the newborn capacity markets. Hereby we propose an innovative approach to the problems, in a dynamic setup and with interplay among the economics agents, namely producers and retailers. Both types of agents face an utility maximization problem, to be solved via a blend of dynamic programming and duality techniques. The study of optimal strategies will reveal information on the structure of the relation between the capacity price and the energy price. The existence of Nash equilibria will lead to an equilibrium solution for the capacity price, and also will lead to the confirmation or modification of the actual incentives/penalties system. Thus, we expect both theoretical results on the resolutions of the problems, and relevant applied results, given the nature of the project itself. Countries in which the research can be conducted (apart from Italy) All Countries of residence of the candidates All Nationality of candidates All -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/ -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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I: Seminario prof. Claudia Ceci
by Fabio Antonelli 27 Apr '20

27 Apr '20

________________________________ Chiunque volesse partecipare da esterno all'Università di L'Aquila è pregato di inviare una email a fabio.antonelli(a)univaq.it entro lunedì 27 aprile alle 11:30 per essere invitato come ospite nel Team Lunedì 27 aprile alle ore 14:30 sul Team Pubblico Seminari Aleatori https://teams.microsoft.com/_#/school/conversations/Generale?threadId=19:52… la prof. Claudia Ceci dell'Università di Chieti-Pescara terrà il seminario dal titolo A BSDE-BASED APPROACH FOR THE OPTIMAL REINSURANCE PROBLEM UNDER PARTIAL INFORMATION Abstract. We investigate the optimal reinsurance problem under the criterion of maximizing the expected utility of terminal wealth when the insurance company has restricted information on the loss process. We propose a risk model with claim arrival intensity and claim sizes distribution affected by an unobservable environmental stochastic factor. By filtering techniques, we reduce the original problem to an equivalent stochastic control problem under full information. Since the classical Hamilton-Jacobi-Bellman approach does not apply, due to the infinite dimensionality of the filter, we choose an alternative approach based on Backward Stochastic Differential Equations (BSDEs). Precisely, we characterize the value process and the optimal reinsurance strategy in terms of the unique solution to a BSDE driven by a marked point process. The talk is based on the paper: Brachetta M., Ceci C. (2019). A BSDE-based approach for the optimal reinsurance problem under partial information, tutti gli interessati sono benvenuti a collegarsi Fabio Antonelli ---------------------------------------------------------------- -- ------------------ Comunicazioni DISIM Universita' degli Studi dell'Aquila Dipartimento di Ingegneria Scienze dell'Informazione e Matematica L'Aquila

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proposta gruppi UMI su Intelligenza Artificiale e Machine Learning
by Ernesto De Vito 24 Apr '20

24 Apr '20

Carissimi, vi scrivo per segnalarvi che verra' presentata una proposta per la formazione di un gruppo UMI su tematiche matematiche legate all'Intelligenza Artificiale e al Machine Learning, di cui sarò il rappresentante. Si tratta di un'iniziativa interdisciplinare che coinvolge ricercatori di diverse aree matematiche. In fondo al messaggio trovate un documento che descrive brevemente le finalita' del gruppo, gli aspetti scientifici ed organizzativi. L'iniziativa si affianca a quella proposta dal Prof. Antonio Di Crescenzo, di cui siete stati informati qualche giorno fa su questa lista di distribuzione, e che trova tutto il mio sostegno. A mio parere, per le loro caratteristiche le due proposte non sono in contrapposizione, mi auguro sinceramente che entrambe abbiano successo e vi sia la possibilita' di instaurare una proficua collaborazione, poiché la probabilita' e la statistica sono sicuramente il fondamento matematico del Machine Learning. Se qualcuno di voi fosse interessato a partecipare al nostro progetto UMI, il cui termine di presentazione scade il 30 aprile ore 24, deve a) risultare iscritto all'UMI per il 2020 ed in regola con il pagamento della quota sociale come socio ordinario (e' possibile iscriversi ancora per qualche giorno); b) inviare un messaggio di posta elettronica a ernesto.devito(a)unige.it entro lunedì 27 aprile ore 24. Vi chiederei gentilmente di diffondere l'iniziativa a tutti coloro che sono potenzialmente interessati a partecipare al progetto. Resto a vostra disposizione per ogni chiarimento e suggerimento. Mi scuso per il poco anticipo con cui vi informo dell'iniziativa, ma ho aspettato di avere pronta una bozza di documento più stabile. Un caro saluto, Ernesto De Vito ---------------- Dipartimento di Matematica Universita' di Genova http://www.dima.unige.it/~devito/ ernesto.devito(a)unige.it %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Proposta per la costituzione di un gruppo UMI “Matematica per l’Intelligenza Artificiale ed il Machine Learning” Uno dei più vecchi sogni del nostro sapere e' quello di capire il funzionamento dell'intelligenza degli esseri umani e la possibilita' di emularne i processi cognitivi da parte di sistemi automatici. L’intelligenza artificiale rappresenta quindi una delle più grandi sfide della scienza moderna coinvolgendo un ampio spettro di discipline e il suo realizzarsi probabilmente portera' ad una nuova rivoluzione “industriale”, di cui si possono gia' constatare i primi effetti. Ad esempio, negli ultimi anni sono stati sviluppati sistemi di Intelligenza Artificiale in grado di risolvere compiti complessi considerati fuori portata per decenni, quali riconoscimento di immagini o del linguaggio e apprendimento di strategie complesse. Al centro di questi successi c’e' il Machine Learning, i cui algoritmi sono addestrati ad apprendere dai dati piuttosto che essere esplicitamente programmati dall’uomo per risolvere un compito specifico. Per sua natura l’Intelligenza Artificiale e' un campo di ricerca multidisciplinare che vede la matematica fortemente coinvolta in tutti i suoi tradizionali settori (logica, algebra, geometria, analisi matematica, probabilita', fisica matematica, analisi numerica e ricerca operativa). La matematica affronta la varieta' dei problemi che si presentano in Intelligenza Artificiale con modelli, metodi e applicazioni, rispondendo quindi ad esigenze di tipo teorico, numerico ed implementativo. In questo contesto, in Italia molti ricercatori hanno indirizzato i loro interessi verso l’Intelligenza Artificiale ed il Machine Learning, ottenendo anche importanti risultati riconosciuti a livello internazionale. Tuttavia manca un quadro di riferimento nazionale per la matematica, che raccolga e sia un incubatore di iniziative e diventi punto di riferimento per le tematiche dell’Intelligenza Artificiale all’interno della nostra comunita' Lo scopo principale della creazione del gruppo UMI di “Matematica per l’Intelligenza Artificiale ed il Machine Learning” e' quello di colmare tale lacuna agendo lungo tre direzioni: ricerca, insegnamento e divulgazione. Innanzitutto il gruppo si prefigge di mettere in contatto i ricercatori che si occupano di queste tematiche al fine di mettere a sistema le risorse favorendo le collaborazioni e la diffusione dei risultati. Oltre a sostenere le interazioni tra le varie discipline e a rafforzare i contatti con i più affermati centri di ricerca internazionali, il gruppo potra' anche avvalersi delle sinergie gia' presenti per rendere accessibili le problematiche attuali e gli argomenti di ricerca alla comunita' matematica italiana. Accrescere la visibilita' delle attivita' di ricerca matematica in questo ambito sara' anche prezioso per attrarre l’interesse e promuovere collaborazioni con altri scienziati in campi sia teorici che applicativi nonché con potenziali utilizzatori dei metodi e delle tecniche di Intelligenza Artificiale. In secondo luogo il gruppo intende promuovere discussioni sul ruolo di questa nuova disciplina in relazione alla formazione, sia a livello di laurea che post-laurea, con l’obiettivo di formare matematici ben preparati che lavorino attivamente su queste tematiche portando risultati originali a più ambiti matematici. Questa esigenza e' particolarmente sentita sia nella ricerca che nelle applicazioni, dove i problemi matematici posti sono di una complessita' tale da richiedere figure ad hoc. Infine il gruppo intende favorire la disseminazione delle tematiche dell’Intelligenza Artificiale e del ruolo della matematica al loro interno presso le scuole e, più in generale, la societa' civile, anche tenuto conto delle delicate implicazioni di carattere etico, legale e filosofico che sono connesse con le moderne applicazioni dell’Intelligenza Artificiale alla vita di tutti i giorni. In conclusione il gruppo ha tra i suoi principi fondanti l’armonizzazione di ricerca, didattica e divulgazione intorno a questa disciplina emergente. Uno strumento per perseguirla e' quello di mantenere contatti stretti con altre macroaree che se ne occupano, in particolare l’informatica e la fisica, sia all’interno che oltre l’ambiente accademico. Questo perché si ritiene fondamentale l’interazione interdisciplinare sia per i contributi teorici sia per quelli implementativi ed applicativi, che richiedono un dialogo aperto con gli esperti dei settori. Aspetti organizzativi e sociali L’attivita' del gruppo si concentrera' principalmente sui seguenti aspetti: a) Organizzazione dell’assemblea annuale del gruppo b) Organizzazione di seminari periodici, anche in modalita' telematica: seminari di ricerca, di formazione e di divulgazione. c) Contribuire all’organizzazione di scuole (dottorato/post-doc) e convegni. d) Organizzazione del sito web e) Newsletter (eventualmente integrata nel Notiziario UMI). f) Indagine conoscitiva allo scopo di individuare i ricercatori italiani attivi nel settore AI e ML. g) Contributo al dibattito etico e sociale dell'intelligenza artificiale.

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ECMI webinar announcement: Mathematics of the COVID-19 crisis
by Alessandra Micheletti 24 Apr '20

24 Apr '20

ECMI Webinar announcement: Mathematics of the COVID-19 crisis – In the eye of the storm The COVID-19 pandemic is currently generating considerable activity among applied and industrial mathematicians across Europe. The mathematics of modelling, simulation, and optimisation in all its various forms has experienced an unusual level of attention from authorities and from the media. In recent weeks, separate teams of researchers in countries across Europe (and elsewhere) have been busy with the urgent task of providing a rigorous basis for difficult political decisions. To aid exchange of ideas and preliminary results, to stimulate discussion, and to foster international collaboration, the European Consortium for Mathematics in Industry (ECMI) is organising a web seminar to be held on April 29, 2020 at 2:00-4:30 pm CET (=GMT+1) The webinar will bring together experts from different countries, who will outline their approaches in short presentations. The webinar is primarily an exchange between applied mathematicians, but it is public, and will be viewable on YouTube. To attend the seminar on YouTube in real time, please connect to this link: https://www.youtube.com/channel/UC91b85JbKwOmWuGHP1mkUgg and select the live streaming window, under the “VIDEO” tab. Each talk will be 15-20 minutes long and will be followed by a session of questions. The attendees may use the YouTube live chat to address questions to the speakers. Information about speakers, times, and abstracts are at the URL: https://sites.google.com/view/math4covid/ -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics Dept. of Environmental Science and Policy - ESP Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 http://users.mat.unimi.it/users/michel <http://www.mat.unimi.it/users/michel>

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Borse dottorato congiunto PoliTO - UniTo - Indam
by Enrico Bibbona 24 Apr '20

24 Apr '20

A parziale correzione degli annunci precedenti, vi prego di pubblicizzare le seguenti informazioni. Il Politecnico di Torino, congiuntamente con L'Università di Torino e l'Indam offre - 8 posizioni di dottorato con borse a tematica libera - 6 posizioni di dottorato con borse a tematica vincolata La domanda deve pervenire entro il *14 Maggio*. Applicazioni di studenti interessati alla *probabilità *e alla* statistica* sono naturalmente benvenute, e sono particolarmente coerenti col tema T4 del progetto scientifico del DISMA - Dipartimento di eccellenza T4. Approximation and statistical interface in random reaction (and interaction) networks <https://areeweb.polito.it/disma-excellence/scientificProject.html#tema-quat…> Cordiali saluti, Enrico Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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Bando dottorato congiunto Politecnico di Torino, Università di Torino e Indam
by Enrico Bibbona 23 Apr '20

23 Apr '20

Cari colleghi, vi chiedo di far circolare la notizia che il Politecnico di Torino, congiuntamente con L'Università di Torino e l'Indam offre 8 posizioni di dottorato. La domanda deve pervenire entro il 30 Aprile. Applicazioni di studenti interessati alla probabilità e alla statistica sono naturalmente benvenute. Cordiali saluti, Enrico Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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Borse di dottorato in area Statistica / Data Science presso il Politecnico di Milano
by Laura Maria Sangalli 22 Apr '20

22 Apr '20

Prego di dare la massima diffusione presso i potenziali interessati ITA E' uscito il bando di ammissione al 36esimo ciclo di dottorato presso il Politecnico di Milano, con scadenza il ** 29 Maggio, ore 14 ** http://www.dottorato.polimi.it/fileadmin/files/dottorato/concorso_linkweb/B… Sono disponibili varie borse in area Statistica / Data Science. Nell'ambito del dottorato in Metodi e Modelli Matematici per l'Ingegneria sono disponibili 8 borse libere, per le quali i candidati possono proporre progetti in area Statistica / Data Science Contatti: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Nell'ambito del dottorato in Data Analytics and Decision Sciences sono disponibili le borse - "Patient representation methods for risk stratification in oncology" Contatto: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contatto: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contatto: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contatti: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contatto: laura.sangalli(a)polimi.it ENGLISH: Several fellowships are available for a PhD in the area of Statistics / Data Science at Politecnico di Milano, Italy: Call: http://www.dottorato.polimi.it/en/ Deadline for applications: 29 May 2020 at 14:00, Italian time Within the PhD program in Mathematical Models and Methods in Engineering 8 fellowships are available in the generic field of Mathematics and Statistics, that can be targeted to Statistics / Data Science Contacts: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Within the PhD program in Data Analytics and Decision Sciences fellowships on the following topics are available: - "Patient representation methods for risk stratification in oncology" Contact: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contact: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contact: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contacts: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contact: laura.sangalli(a)polimi.it —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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Corso JACOB
by Matteo Ruggiero 21 Apr '20

21 Apr '20

Cari colleghi, nell’ambito del programma di Visiting Professors per la Laurea Magistrale in Stochastics and Data Science dell’Università di Torino, siamo riusciti a confermare almeno parte delle attività previste per il secondo semestre in modalità telematica. Con grande piacere dunque annunciamo che a breve si terrà il seguente corso: ---------------------------------------------------------------------------- Pierre JACOB (Harvard University) PROBABILITY COUPLINGS AND MONTE CARLO The course is about the method of coupling in probability and its use in Monte Carlo methods, which refer to algorithms generating samples from probability distributions of interest. The course includes an introduction to Monte Carlo methods (rejection sampling, importance sampling, MCMC), followed by an introduction to the coupling method. This includes the celebrated "coupling inequality" and various coupling interpretations of notions of distances between probability distributions, such as total variation and Wasserstein. The course then focuses on Markov chain methods and describes how couplings of Markov chains can be employed to quantify their convergence. The last part of the course covers various Monte Carlo methods that rely on explicit coupling constructions in their implementations, such as Coupling From The Past (Propp & Wilson 1996), debiasing techniques (Glynn & Rhee 2014) and some convergence diagnostics for MCMC (Johnson 1996). ---------------------------------------------------------------------------- Il corso è rivolto agli studenti del primo anno della Laurea Magistrale, e consisterà in materiale misto live e registrato, reso disponibile a partire dal 28 aprile nell’arco di 3/4 settimane. Eventuali interessati possono fare richiesta di partecipazione allo scrivente. Outline del corso e una versione preliminare delle lecture notes sono disponibili alla pagina https://sites.google.com/site/pierrejacob/cmclectures Il programma completo di Visiting Professors può essere consultato alla pagina http://www.master-sds.unito.it/do/home.pl/View?round=1&doc=visitingprofesso… Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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proposta di Gruppo UMI
by Antonio DI CRESCENZO 19 Apr '20

19 Apr '20

Gent.mi, nel recente passato, nei convegni "Italian Meeting on Probability and Mathematical Statistics", tenuti a Torino (2017) e Vietri sul Mare (2019), è emersa un'esigenza sentita e condivisa da molti di creare un organismo che possa raccogliere anche in modo istituzionalizzato le energie della comunità con interessi in ambito probabilistico e statistico. Un'ottima opportunità per realizzare tale progetto è emersa di recente, in quanto l'Unione Matematica Italiana ha aperto un bando per la creazione dei *Gruppi UMI* (cf. https://umi.dm.unibo.it/gruppi-umi/). A tale scopo, seguendo le linee del bando, è stata predisposta una proposta di istituzione di un Gruppo UMI, con l'intento di promuovere in modo coordinato attività di ricerca, didattiche e di terza missione inerenti discipline legate a temi stocastici. La proposta è stata formulata con l'aiuto di membri del Comitato Scientifico della prossima edizione del convegno, che si terrà a Bologna nel 2021 (cf. https://site.unibo.it/probstat/en) ad anche con l'apporto di diverse persone interessate. Una sintesi dei punti presenti nella richiesta è riportata in fondo alla mail. Per ricevere informazioni più dettagliate potete inviare una email a prisma.umi(a)gmail.com La proposta deve pervenire all'UMI entro il *30 aprile*, corredata dall'elenco di almeno *15 proponenti* (*iscritti all'UMI*). Per dare maggiore peso alla richiesta è opportuno avere un elevato numero di proponenti. Sperando che la proposta riscuota consenso, invito con piacere gli interessati a dare la disponibilità ad essere inseriti nell'elenco dei proponenti (scrivendo a: prisma.umi(a)gmail.com). Coloro che non sono soci possono comunque effettuare l'iscrizione all'UMI (cf. https://umi.dm.unibo.it/area-soci/associarsi/) per poter poi divenire proponenti del Gruppo. Vi ringrazio molto per l'attenzione, confidando della vostra collaborazione, e vi saluto con l'augurio che si possa superare al meglio l'emergenza epidemiologica in atto, Antonio Di Crescenzo =========================== DESCRIZIONE SINTETICA: Le attività del Gruppo avranno connotazione interdisciplinare coinvolgente varie aree della matematica anche in vista di ricadute in vari ambiti culturali e scientifici. Mantenendo l’attenzione agli sviluppi della probabilità e della statistica matematica lungo le molte direzioni che dominano la scena internazionale, esse promuoveremo anche l’interazione con settori attuali ed emergenti, con particolare riferimento allo sviluppo di metodi formali e strumenti probabilistici e statistici in diversi ambiti. Le attività si suddividono in - attività di ricerca (organizzazione di un convegno scientifico biennale e di mini-workshop su temi emergenti, coordinamento di seminari e corsi di dottorato, database aggiornato delle iniziative scientifiche, ...) - attività d’insegnamento (censimento di attività didattiche universitarie su temi stocastici, promozione di attività didattiche su temi stocastici a livello universitario e per la didattica della probabilità nella scuola, anche in collaborazione col Piano Nazionale Lauree Scientifiche per la Matematica, ...) - divulgazione dei risultati (attraverso convegni, canali istituzionali, ...) - interazione con vari settori della scienza e della società (incontri scientifici su temi stocastici della matematica industriale, incontri con attori dell’economia e delle istituzioni per public engagement, ...) -- ============================================= Antonio Di Crescenzo Dipartimento di Matematica Università degli Studi di Salerno Via Giovanni Paolo II, n. 132 <https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…> 84084 Fisciano (SA) Italy Tel. +39-089-963349 Fax: +39-089-963303 E-mail(1): adicrescenzo(a)unisa.it E-mail(2): adicresc(a)gmail.com Web: http://www.unisa.it/docenti/antoniodicrescenzo/index Skype: antoniodicrescenzo =============================================

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International Conference in Venice - CALL FOR PAPERS
by Monica Billio 17 Apr '20

17 Apr '20

CREDIT2020 <http://www.greta.it/credit/credit2020/credit2020.htm> *GRETA Associati* (Venice, Italy), *Cattolica Assicurazioni *(Verona, Italy), *CRIF* (Bologna, Italy), *European Investment* *Fund *(Luxembourg), *European Investment Bank* (Luxembourg) and*Intesa Sanpaolo *(Milan, Italy) are co-sponsors of a Conference to be held in Venice on September 24-25, 2020. The objective of the Conference is to bring together academics, practitioners and PhD students working in the area of risk management. The conference will provide an opportunity for participants engaged in research at the forefront of this area to discuss both the causes and implications of recent financial and climate-related events and may, in turn, suggest fruitful and policy-relevant directions for future research. The Conference, organised under the auspices of the *Department of Economics of the University Ca’ Foscari of Venice*, *ABI - Italian Banking Association*, *AIAF - Associazione Italiana per l'Analisi Finanziaria* and the *Joint Research Center*, *European Commission* (Ispra, Italy), is the *nineteenth *of a series dedicated to various aspects of credit risk. /The UN 2030 Agenda for Sustainable Development and the adoption of European Commission’s Action Plan on Sustainable Finance mark important international commitments to the objective of a more sustainable economy and society. However, their successful implementation is tightly related to the scaling up of low-carbon investments and divestment from carbon-intensive investments. This, in turn, requires an assessment of the credit risks stemming from investors’ exposure to economic activities and assets that could be stranded by climate change. For instance, regulators’ discussion about the revision of capital requirements aimed to foster green investments (i.e. a green-supporting or a brown-penalising factor) is hampered by the unclear understanding of the implications of a regulatory change on individual institutions and systemic financial risk. Thus, financing the low-carbon transition is primarily a discussion about credit risk./ /The financial sector, and in particular the banking and insurance industries need to develop new portfolios’ risk management strategies and to adjust their credit allocation practices to cope with the opportunities and challenges of the low-carbon transition in the economy and finance. All these changes call for a substantial amount of research to improve the knowledge of the mechanisms at play and to design tailored and effective policy tools./// // // // The organizers encourage submissions of papers on any topic within the overall theme of the conference and in the following areas in particular: * INVESTMENTS: Green Finance, Investments Principles, Real Estate Sustainability, Finance for Good; * POLICIES: Climate Policies, Climate Financial Risk; European Green New Deal, Social Sustainability * INFORMATION: Non Financial Disclosure, Climate risk disclosure, ESG Ratings, ESG Taxonomies The final program will include both submitted and invited papers. Acceptances received so far from invited speakers include *Marina Brogi* (Sapienza University of Rome) and *Andrew W. Lo *(MIT Sloan School of Management). The Conference will also feature panel discussions on researchers', practitioners' and policy makers’ views of the major issues at stake for embedding climate into credit risk. The Scientific Committee consists of: *Monica Billio *(Ca’ Foscari University of Venice & GRETA, Programme Chair)* Marina Brogi *(Sapienza University of Rome)* Francesca Campolongo* (Joint Research Center, European Commission)* Helmut Kraemer-Eis* (European Investment Fund)* Rainer Haselmann* (Goethe University, Frankfurt)* Irene Monasterolo* (Vienna University of Economics and Business)* Steven Ongena *(University of Zurich, Swiss Finance Institute, KU Leuven & CEPR)* Roberto Rigobon* (MIT Sloan School of Management)* Stephen Schaefer* (London Business School)* * Sponsors** *GRETA* <http://www.greta.it/> Cattolica Assicurazioni <https://www.cattolica.it/home-corporate/> CRIF <https://www.crif.it/> European Investment Fund <https://www.eif.org/> European Investment Bank <https://www.eib.org/en/> *IntesaSanpaolo* <http://www.group.intesasanpaolo.com/scriptIsir0/si09/eng_index.jsp> Auspices** ** <http://www.abi.it/Pagine/default.aspx> *Ca' Foscari - Economics Department* <http://www.unive.it/pag/16892> *ABI* <http://www.abi.it/Pagine/default.aspx> ** <http://www.abi.it/Pagine/default.aspx> AIAF <https://www.aiaf.it/> *JCR - European Commission <https://ec.europa.eu/jrc/en> * ** *CALL FOR PAPERS* **COVID-19 update: As of the time of this writing (Mid April 2020), the CREDIT 2020 Conference is still planned for September 24-25, 2020 in Venice, Italy. With the event still five months away, it is difficult to anticipate what meeting and travel restrictions will exist in the fall. However, as the global fight against COVID-19 continues, we are exploring and planning alternatives to an in-person event but we hope to continue in Venice as planned. Thus, the paper submission and selection process will run just as expected and we warmly invite you all again to submit your papers to CREDIT 2020.** Those wishing to present a paper at the Conference should submit by *May 31, 2020* to the address given below (preferably in electronic format). Please indicate to whom correspondence should be addressed. Decisions regarding acceptance will be made by *June 30, 2020*. The final version of accepted papers must be received by August 31, 2020. Please send papers to: GRETA Associati San Polo, 2605 - 30125 Venice, ITALY Phone : +39 041 5238178 e-mail: credit(a)greta.it <mailto:credit@greta.it> *IMPORTANT DATES* *May 31, 2020*: Papers submission deadline *June 30, 2020*: Paper acceptance notification *August 31, 2020*: Deadline for sending final version of accepted papers More detailed information on the Conference website: http://www.greta.it/credit/credit2020/credit2020.htm *** Please accept our apologies for any crossed e-mails. ** Probably you are in our mailing list from very long time because you collaborated with us or with our associates, you asked to be informed about our activities, you attended our conferences or you submitted papers to our call for papers. If you would like to continue enjoying the benefits of keeping up to date with our future events, invitations, and developments, you do not need to do anything. If you would prefer to no longer receive communications from us, please send an email with Subject "Cancel from Mailing List" to credit(a)greta.it <mailto:credid@greta.it>

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bando assegno di ricerca - Luiss, scadenza 10 Maggio 2020
by Fausto Gozzi 17 Apr '20

17 Apr '20

Cari colleghi, segnalo l'assegno di ricerca, SSD SECS-S/06 (Metodi matematici dell'economia e delle scienze attuariali e finanziarie ), della durata di TRE anni, dal titolo: "The Time-Space Evolution of Economic Activities: Mathematical Models and Empirical Applications ' (scadenza 10/05/2020) https://economiaefinanza.luiss.it/ricerca/assegni-di-ricerca/bandi-di-conco… https://economiaefinanza.luiss.it/sites/economiaefinanza.luiss.it/files/Ban… L'assegno è bandito all'interno di un progetto di cofinanziato PRIN 2017 presso la Luiss - Guido Carli. Grazie per l'attenzione. Fausto Gozzi -- Fausto Gozzi Dipartimento di Economia e Finanza LUISS - Guido Carli Viale Romania, 32 00197 Roma Italy tel 06.85225723 (office) FAX 06.86506513 e-mail: fgozzi(a)luiss.it webpage: http://docenti.luiss.it/gozzi/ old address, sometimes still used: Fausto Gozzi Dipartimento di Matematica Universita' di Pisa Largo Bruno Pontecorvo n.5 56127 Pisa Italy tel 050/2213270 e-mail: gozzi(a)dm.unipi.it

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Junior Professorship (W1) in Mathematical Economics at Bielefeld University
by Giorgio Ferrari 16 Apr '20

16 Apr '20

Dear All, please find below the annoucement of a *Junior Professorship (W1) in Mathematical Economics *at Bielefeld University. Deadline for applications is May 15. All the best wishes, Giorgio Ferrari %%%%%%%%%%%%%%%%%%%% The *Center for Mathematical Economics *(Institut für Mathematische Wirtschaftsforschung, IMW) and the *Faculty of Business Administration and Economics* at Bielefeld University are seeking to fill the following position as soon as possible: *Junior Professorship (W1) in Mathematical Economics* We are looking for outstanding, internationally visible candidates in research and teaching who are qualified by excellent publications in one of the research areas of the Center for Mathematical Economics. Interdisciplinary research and teaching across faculties traditionally plays an important role at the Center for Mathematical Economics. We expect participation in the existing and planned joint third-party funded projects of the Center, the Faculty of Economics and Business Administration, and other faculties, especially in the interdisciplinary context. The connection to the Collaborative Research Center 1283 `` Taming Uncertainty and Profiting from Randomness ... ’’ plays an important role for this professorship. We are looking for young researchers who can make a significant contribution to the economic sub-projects of the Collaborative Research Center; potential topics include dynamic game theory (differential games, mean-field games) as well as the analysis of financial markets (equilibrium models in continuous time), industrial dynamics (dynamic I.O.) or complex decisions under uncertainty (e.g. recursive dynamic utility). Teaching is to be provided in the research-oriented Master and Bachelor programs of the Faculty of Economics and Business Administration, especially in Mathematical Economics. The prerequisites for the position are a university degree, pedagogical aptitude and the special ability for scientific work, which is usually demonstrated by the outstanding quality of a doctorate. The position is initially for three years, and can be extended to six years after a positive evaluation. Applications from suitably qualified handicapped and severely handicapped persons are explicitly encouraged. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family-friendly university. The university welcomes applications from women. Applications are handled according to the state's equal opportunity statutes. Applications with the usual documents (curriculum vitae, copies of certificates, list of publications with identification of up to 10 most important publications, a 2-page research and teaching concept) should preferably be submitted till *May 15, 2020* to: Bielefeld University Center for Mathematical Economics (IMW) Frau Buiwitt-Robson Postfach 10 01 31 33501 Bielefeld or by e-mail as a single PDF file to: IMW(a)uni-bielefeld.de Please refrain from submitting application folders and submit photocopies only, as the application documents will be destroyed at the end of the selection procedure. Please note that risks to confidentiality and unauthorized access by third parties cannot be ruled out when communicating via unencrypted e-mail. Information on the processing of personal data can be found at: https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/… -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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3-years post-doc position in Munich
by Faggionato, Alessandra 16 Apr '20

16 Apr '20

Buongiorno, vi inoltro l'annuncio per una posizione post-doc di 3 anni a Monaco. La scadenza e' prossima ma Markus Heydenreich mi ha scritto che anche le applications inviate la prossima settimana saranno prese in considerazione. Saluti Alessandra Faggionato ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ VACANCY FOR A POSTDOCTORAL RESEARCHER IN PROBABILITY THEORY AT LMU MUNICH Subject to final confirmation from DFG, we have a vacancy for a scientific employee (fixed term) at the Mathematics Department at the University of Munich to join our research group in Probability Theory. The project is part of the newly established Priority Programme “Random Geometric Systems” (SPP 2265) funded by DFG. We are looking for a talented and motivated postdoctoral researcher to carry out a research project on the weight-dependent random connection model. The project is on the intersection of complex networks and (continuum) percolation theory in high dimensions. Prior research experience in percolation theory, spatial random networks, or random walks with dependencies (e.g. Mott's variable-range hopping) is appreciated. The position is fixed term for 36 months. Intended starting date is autumn 2020. The LMU Munich is one of the largest and most renowned universities in Germany. The Mathematics Department is located in the city center of Munich. Interested candidates are invited to submit applications (in German or English) containing full curriculum vitae, copies of relevant certificates, as well as name and contact details of three academic referees preferably by email to <m.heydenreich(a)lmu.de>. Applications received until April 17, 2020 will be fully considered; the hiring procedure continues until the position is filled. The university is an equal opportunity employer. Handicapped applicants will be given preference in the case of approximately equal qualifications. The university of Munich is interested in increasing the number of female faculty members and encourages women to apply. Please contact me directly for further questions about the project or the position. ~~~~~~~~~~~~~~~~~~~~~~~~~ Markus Heydenreich Mathematisches Institut Ludwig-Maximilans-Universität München http://www.math.lmu.de/~heyden/ -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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colloquium of A. Montanari - correction
by Marco Romito 14 Apr '20

14 Apr '20

dear all I am writing to update the broadcasting information about Andrea's talk on next Wednesday. In order to attend the online seminar, you can connect to https://meet.google.com/iwa-aetx-bky (needs authorization if you do not have a UniPi account and it is limited to 250 participants). The seminar will be also streamed live on the official YouTube channel <https://www.youtube.com/channel/UCfMLkaFzJYx6JoMxtGvvqJw> of the Department, at the URL: https://www.youtube.com/channel/UCfMLkaFzJYx6JoMxtGvvqJw * MATHEMATICAL PROBLEMS IN MODERN MACHINE LEARNING* /Andrea Montanari (Stanford University)/ April 15, 2020, 4pm (CEST) _Abstract_: The last fifteen years have witnessed dramatic advances in machine learning. This progress was mainly driven by engineering advances: greater computing power, and larger availability of training data. Not only the collection of methods that emerged from this revolution are not well understood mathematically, but they actually appear to defy traditional mathematical theories of machine learning. I will argue that future developments and applications will require to understand better the underlying mathematical principles. I will describe two recent examples of mathematical progress in this area that are connected to areas of modern mathematics: 1. Gradient flows in Wasserstein spaces; 2. Random matrix theory. [Based on joint work with: Song Mei, Phan-Minh Nguyen, Behrooz Ghorbani, Theodor Misiakiewicz]

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Call for papers: special issue of the J. Math. Ind. on COVID19
by Alessandra Micheletti 14 Apr '20

14 Apr '20

Sorry for multiple posting. I would like to announce that the Journal of Mathematics in Industry <https://mathematicsinindustry.springeropen.com/>, with the support of the European Consortium for Mathematics in Industry – ECMI <https://ecmiindmath.org/> , has decided to publish a special issue entitled: *Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology*. This is a call for papers. The *Journal of Mathematics in Industry* is a high-quality *open-access* journal that brings together research on developments in mathematics for industrial applications, where industry is understood as *any activity of economic and/or social value. * In the disruptive period we are living in, in the middle of the spread of the SARS-CoV-2 pandemics, scientists, and in particular mathematicians and statisticians, are investing an unprecedented effort to forecast the course of the pandemic and to suggest measures to mitigate its unfortunate effects. We are conscious that this pandemic will very likely deeply affect our societies, production, health management, and many other aspects of human life. That is why there is an urgency to provide scientifically reliable studies of the many aspects of the problem to policy makers. This special issue will be devoted to articles that propose data-driven mathematical and statistical models of the spread of the SARS-CoV-2 virus, and/or of its foreseeable consequences on public health, society, industry, economics and technology. The editors of this special issue and the scientists of the ECMI Consortium will guarantee a *fast and fair peer-to-peer review procedure*, in order to provide society with a timely and reliable injection of scientific insights. Given the importance of the subject, *the APCs of all the articles accepted for this special issue will be waived.* Interested authors, during the submission procedure, will be asked to note whether their paper is tied to a Thematic Series or not, under the Additional Information section. Please select the MATHCOVID19 option, and apply for the waive of the APCs. Corresponding authors coming from an ECMI center may enter the ECMI code for APCs waive procedure (please refer to your national representative in the ECMI council to have this code). *Guest editors:* · Alessandra Micheletti, Università degli Studi di Milano (Lead guest editor) · Adérito Araújo, University of Coimbra · Neil Budko, Delft University of Technology · Ana Carpio, Universidad Complutense de Madrid · Matthias Ehrhardt, Bergische Universität Wuppertal *Topics of interest:* Scenarios of containment and mitigation; Socio-economic costs of the SARS-CoV-2 pandemic; Spatio-temporal spread of SARS-CoV-2; Estimating the unreported number of virus cases; Bats-Hosts-Reservoir-People (BHRP) virus transmission; *Methods of interest and keywords:* mathematical epidemiology, mathematical modelling, SIR-type models, delay differential equations, waning immunity models, quarantine models, θ-SEIHRD model, parameter estimation, numerical simulation, incidence forecast methods, econometric models, contagion models, Poisson autoregressive models, basic reproduction number, optimal control, dynamical system, time delay process, parameter identification, outbreak, prediction, isolation, transmission risk, data-driven time-dependent transmission rate, risk assessment of virus outbreaks, fitting dynamic models to epidemic outbreaks with quantified uncertainty, short-term forecasting epidemic waves, big data analysis and prediction, data mining, risk modelling and simulation, Epidemic prevention and control, outbreak emergency management, Impact of the epidemic on the economy, finance, society, companies -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics Dept. of Environmental Science and Policy - ESP Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 http://users.mat.unimi.it/users/michel <http://www.mat.unimi.it/users/michel>

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colloquium of A. Montanari
by Marco Romito 08 Apr '20

08 Apr '20

dear all I am writing to announce the following Colloquium at the Mathematics department, Pisa University. *MATHEMATICAL PROBLEMS IN MODERN MACHINE LEARNING** */Andrea Montanari (Stanford University)/ April 15, 2020, 4pm Abstract: The last fifteen years have witnessed dramatic advances in machine learning. This progress was mainly driven by engineering advances: greater computing power, and larger availability of training data. Not only the collection of methods that emerged from this revolution are not well understood mathematically, but they actually appear to defy traditional mathematical theories of machine learning. I will argue that future developments and applications will require to understand better the underlying mathematical principles. I will describe two recent examples of mathematical progress in this area that are connected to areas of modern mathematics: 1. Gradient flows in Wasserstein spaces; 2. Random matrix theory. [Based on joint work with: Song Mei, Phan-Minh Nguyen, Behrooz Ghorbani, Theodor Misiakiewicz] In order to follow the exposition the audience can join the live streaming at the URL: https://stream.meet.google.com/stream/ea5a4a6c-6b34-428a-b45c-b0d625ee5610

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Bando PhD in Economics 2020-21 -Ca' Foscari University
by Antonella Basso 04 Apr '20

04 Apr '20

Dear Colleague, I would be grateful if you could bring to the attention of your best students the new edition 2020-2021 of the PhD Program in Economics offered by the Ca' Foscari University of Venice. The PhD Program in Economics aims at training selected students for a career as economists in academic institutions or in research departments of national and international organizations, public institutions, private corporations, central banks, financial institutions. Our recent PhDs first placement include positions both in Italian and foreign Universities such as Università Libera di Bolzano, Università degli Studi di Modena e Reggio Emilia, Luiss Guido Carli, Università degli studi di Padova, King’s College London, Boston University, Aberdeen Univeristy, University of Addis Abeba and Zhongnan University of Economics and Law. Some PhDs were employed by private companies such as Morgan Stanley-London, Microsoft and public and private research centers: Banca d’Italia, Bundesbank, Banque Centrale du Luxembourg, European Central Bank, Ecuador Ministry of Education. The considerable diversification of research areas covered by the members of Department of Economics and their international reputation provide an excellent environment where students of most fields in economics can find research ideas and tight guidance for their doctoral studies. The PhD program has a duration of four years. For the academic year 2020-2021, 6 positions are available. Five of them come with a scholarship (around 15,300 € per year), one is reserved for non-Italian applicants who can prove to have their own scholarship covering four years. Deadline for application is *April 21st 2020*, 13h00 (Italian time). Information and application procedure can be found at http://www.unive.it/phdapplication Information on the PhD in Economics can be found at http://www.unive.it/phdeconomics Any questions on the program may be addressed to the PhD Secretariat at: sse(a)unive.it <mailto:sse@unive.it> Thank you for your cooperation Best regards Antonella Basso ********************************************************************************************** Caro Collega, Ti scrivo per segnalarti l’apertura del bando per il programma di dottorato in Economics offerto dal dipartimento di Economia dell’Università Ca’ Foscari di Venezia. Quest’anno sono disponibili 5 posti con borsa quadriennale (circa 15.300€ annui per l’intera durata del dottorato), più un posto per studenti stranieri in possesso di borsa di studio propria. Il bando si chiude il *21 aprile 2020 alle 13.00,* ora italiana. Il dottorato ambisce a preparare un gruppo selezionato di studenti per la carriera accademica, ma anche per ricoprire posizioni in research departments di organizzazioni internazionali, istituzioni pubbliche, imprese private banche centrali e istituzioni finanziarie. I primi placement dei nostri più recenti dottori di ricerca includono contratti o assegni di ricerca presso atenei, italiani o stranieri, (Università Libera di Bolzano, Università degli Studi di Modena e Reggio Emilia, Luiss Guido Carli, Università Ca’ Foscari e Università degli studi di Padova). Alcuni dottori hanno invece intrapreso la carriera universitaria come ricercatori presso atenei stranieri: King’s College London, Boston University, Univeristy of Aberdeen, University of Addis Ababa, Zhongnan University of Economics and Law. Altri invece hanno trovato la loro prima occupazione presso enti o aziende privati (Euromonitor International a Vilnius, Morgan Stanley-London, Microsoft) e enti di ricerca pubblici o istituzioni pubbliche (Banca d'Italia, Bundesbank, Banque Centrale du Luxembourg, Banca Centrale Europea, Tertiary Education Commission e Ecuador Ministry of Education). Il programma di dottorato ha una durata quadriennale. Il primo anno i dottorandi seguono un intenso programma di corsi avanzati. Gli studenti ammessi al secondo anno si concentrano sul lavoro di tesi e partecipano attivamente alla vita del dipartimento. L'ampio spettro di interessi di ricerca e la reputazione internazionale della faculty di area economica e quantitativa di Ca’ Foscari, così come il ricco programma di seminari e workshop di livello internazionale organizzati in dipartimento permettono agli studenti di lavorare in un ambiente stimolante per tutta la durata del corso di dottorato. Gli studenti più meritevoli ricevono l’adeguato supporto, anche economico, per partecipare a conferenze e workshop internazionali e per poter competere sul job market internazionale. Puoi trovare maggiori dettagli riguardo il bando a questo link: http://www.unive.it/phdapplication Informazioni dettagliate sul PhD in Economics a Ca’ Foscari: http://www.unive.it/phdeconomics Qualsiasi richiesta di informazioni riguardo il programma può essere rivolta alla Segreteria del dottorato all'indirizzo: sse(a)unive.it <mailto:sse@unive.it> Cordiali saluti Antonella Basso -- Antonella Basso Prorettore alla Programmazione e Valutazione - Prorector at Planning and Valuation Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address:basso@unive.it Web page:http://www.unive.it/data/persone/5591751

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Fwd: Call for abstracts OICA online conference, deadline April 13th, 2020
by Elena Vigna 03 Apr '20

03 Apr '20

-------- Messaggio Inoltrato -------- Oggetto: Call for abstracts OICA online conference, deadline April 13th, 2020 Data: Thu, 2 Apr 2020 22:11:30 +0000 Mittente: LOISEL STEPHANE <stephane.loisel(a)univ-lyon1.fr> A: LOISEL STEPHANE <stephane.loisel(a)univ-lyon1.fr> Dear RIANA colleagues and friends, Can you please forward this announcement to your network and encourage your colleagues and PhD students to submit abstracts and/or attend ? Thanks, Best, Stephane Dear Colleagues and Friends, We organise at the end of the month (April 28-29, 2020) an _online_ conference in actuarial science, data science and finance. Abstract submission deadline : April 13th, 2020. Scientific committee : Hansjoerg Albrecher (Lausanne), Katrien Antonio (Leuven), Benjamin Avanzi (Melbourne), Pauline Barrieu (LSE), Mercè Claramunt (Barcelona), Nicole El Karoui (Paris), Romuald Elie (Berkeley), Stéphane Loisel (ISFA, chair), Mogens Steffensen (Copenhagen), Ruodu Wang (Waterloo), Hailiang Yang (Hong-Kong U.) We hope that’ll be able to submit an abstract : http://oica.univ-lyon1.fr <http://oica.univ-lyon1.fr> Details about the purpose of the conference are below. Parallel session talks are 15mins long. Take care and stay safe, Stéphane Loisel PS Registration is free but compulsory. ** *About OICA Conference* /(Online International Conference in Actuarial science, data science and finance)/ Covid19 is going to change the financial markets and the insurance-reinsurance network. As actuarial science, data science and finance researchers, we cannot easily help for the current phase as we are not medical doctors or epidemiologists. But we can help to mitigate/manage the financial/risk management consequences by carrying out relevant research in 2020-2021. For this we need to learn NOW from experts and decision makers what the research challenges are. Therefore we are organising an online conference on April 28-29, 2020 with two goals : * Enabling researchers and young researchers to present actuarial / data science / financial research that was done before covid19 (therefore NOT related to covid19) * Having 1 or 2 roundtables that describe covid19 implications on the economy, and which help us to know which research topics we could investigate in the future if we want to help (WACA roundtables : What Actuaries Could Accomplish researchwise in 2020-21). We also planned (classical) plenary talks on topics that could be useful for post-covid research, as well as a quite different talk by José Blanchet about a social platform startup that he created in response to covid19 in US and Mexico and the associated data science future challenges. INVITED PLENARY SPEAKERS *Beatrice ACCIAIO */(LSE, London, United Kingdom)/** *José BLANCHET */(Stanford University, CA, USA)/ *Caroline HILLAIRET */(ENSAE, Paris, France)/ *Nora PANKRATZ */(UCLA, CA, USA)/ *Jae Kyung WOO */(UNSW, Sydney, Australia)/ ** To be clear, this event is NOT about presenting super-fast, opportunistic research on epidemiology produced by actuaries. It is about presenting classical actuarial/data science/finance research works that have been done before, and reflecting about how we can contribute researchwise for the future. As almost everyone is at home at that time, we think that the timing is possible. We’ll have sessions in the morning, lunch time and up to evening to accomodate participants in different locations. The roundtables will be held between 11am and 4pm French time to maximize audience (including Asia-Pacific and America). We hope that you’ll join us to this OICA-WACA conference and roundtable (please use French accent to sound like Shakira’s song) !

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ABC World Seminar
by Massimiliano ... 03 Apr '20

03 Apr '20

Dear all, I hope you are keeping safe and well. Inspired by the One World Probability Seminar, we decided to run The ABC World Seminar, a weekly/fortnightly series of seminars that will take place on Blackboard collaborate on Thursdays at 9am [UK time]. The idea is to gather members and disseminate results and innovation during these weeks and months under lockdown. The first speaker will be Dennis Prangle on "Distilling importance sampling" on 9th April. Please sign up to the mailing list https://listserv.csv.warwick.ac.uk/mailman/listinfo/abc_world_seminar to be able to join the talk. Full details are available on the webpage https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem… Please share this email to anyone who may be interested. Best wishes, Massimiliano Tamborrino, on behalf of the ABC World Seminar Organisers. ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/tamborrino

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Vacancy for Lecturer, Financial Computing Group, University College London, deadline 27 April 2020
by Guido Germano 01 Apr '20

01 Apr '20

Dear Colleague, our Financial Computing and Analytics Group has advertised a lecturer position with application deadline on 27 April 2020: https://www.jobs.ac.uk/job/BZQ100/lecturer-in-financial-computing The job description is attached. This position has been held by Simone Righi, who at the end of June 2020 will leave for the Department of Economics, Ca’ Foscari University of Venice. Kind regards Guido Germano Dr Guido Germano, Associate Professor, UCL Department of Computer Science Programme Director and Admissions Tutor, UCL MSc Computational Finance Research Associate, Systemic Risk Centre, London School of Economics Associate Editor, Advances in Complex Systems www.cs.ucl.ac.uk/staff/g.germano

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First announcement: 10th AMaMeF Conference *2021* - SAVE THE DATE!
by Tiziano Vargiolu 31 Mar '20

31 Mar '20

Dear Colleague, on behalf of the organising committee, it is a pleasure to announce that the 10th AMaMeF Conference will take place in Padova on June 22-25, *2021*. The conference will feature plenary lectures, invited sessions and contributed sessions covering the forefront areas of research in theoretical and quantitative finance, risk, insurance. Abstract submission for contributed talks and posters will be announced in due time. Follow the development at the website (in continuous development): https://events.math.unipd.it/AMAMEF2021/ Please help to distribute this announcement among your all contacts. Welcome to Padova in June 2021! Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Fwd: New online Oxford Discrete Mathematics and Probability seminar
by Silvestri, Vittoria 31 Mar '20

31 Mar '20

Segnalo un'altra iniziativa di seminari online, gestita dal gruppo di Oxford. Il primo seminario è oggi pomeriggio (Rob Morris, IMPA) alle 15:00. Cari saluti, Vittoria ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ******************************** Begin forwarded message: *From:* Christina Goldschmidt <goldschm(a)stats.ox.ac.uk> *Date:* 27 March 2020 at 16:40:54 GMT *To:* "APPLIEDPROB(a)jiscmail.ac.uk" <APPLIEDPROB(a)JISCMAIL.AC.UK> *Subject:* *New online Oxford Discrete Mathematics and Probability seminar* *Reply-To:* Christina Goldschmidt <goldschm(a)STATS.OX.AC.UK> Dear colleagues, We hope that you are all well, and finding a way to adjust to our new circumstances. We are writing to announce the new Oxford Discrete Mathematics and Probability Seminar, which will take place on Tuesdays, on Zoom, starting on 31st March, and will feature talks in both Combinatorics and Probability. For the first week we will have a single seminar at 2pm (UK time); in most future weeks we will also have a second seminar at 3.30pm. The talks are open to everybody: please feel free to forward this announcement to anyone you think might be interested. The first two talks will be: 31st March, 2pm: Rob Morris (IMPA), Erdős covering systems 7th April, 2pm: Louigi Addario-Berry (McGill), Hipster random walks. More details can be found at http://people.maths.ox.ac.uk/scott/dmp.htm . This will be something of an experiment while we get to grips with the technology, but we're excited about the possibilities this format might bring! We are aware of several other excellent such initiatives going on, and will be keen to share our experiences and learn what works. We have set up a mailing list for seminar announcements, discmathprob(a)maillist.ox.ac.uk. In order to subscribe, please send an email to sympa(a)maillist.ox.ac.uk with subject “subscribe discmathprob Firstname Lastname” (replace “Firstname” and “Lastname” appropriately); leave the message body blank. You should receive a message to let you know that your subscription has been successful. Our intention (of course with the agreement of the speakers) is to record the seminars and put them on YouTube for an indefinite period of time, to act as a resource for the community. This has consequences from the perspective of data protection since, by default, if you participate, personal data consisting of your username, audio and video may be recorded. If you wish to participate but do not want your personal data recorded, you should please make sure to turn off your video and mute your microphone. All best wishes, Christina Goldschmidt and Alex Scott. -- Christina Goldschmidt | http://www.stats.ox.ac.uk/~goldschm | she/her Department of Statistics and Lady Margaret Hall, University of Oxford ------------------------------ To unsubscribe from the APPLIEDPROB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=APPLIEDPROB&A=1

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Associate Professor Position @ Luxembourg University
by Giovanni Peccati 30 Mar '20

30 Mar '20

Dear Colleagues, The *Department of Mathematics* of the *Faculty of Science, Technology, and Medicine* (FSTM) of the *University of Luxembourg* (UL) has an opening for an *Associate Professor in Mathematics (promotion track) – Area of Statistics and Machine Learning*. - Ref: *F1-50011779* (to be mentioned in all correspondence) - Full-time position (40 hrs/week) - Earliest starting date: September 2020 - Permanent position, with promotion track (after 5 years there is the possibility of being promoted to full professor after an evaluation). In case of an excellent more senior candidate, appointment at the level of full professor can be considered Deadline: *May 31, 2020* (NB: the previous deadline for this position was March 31, 2020 - we decided to postpone it by two months, mainly because of the current international crisis). All details can be found at the address: http://emea3.mrted.ly/2f9vz With my best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ----------------------------------------- homepage: http://sites.google.com/site/giovannipeccati/Home E-mail: giovanni.peccati(a)gmail.com

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Datathon on Covid-19
by Fabrizio Lillo 30 Mar '20

30 Mar '20

Dear colleagues, please find below the announcement of a Datathon (real-time forecasting competition) on Covid-19 just started. Feel free to distribute to all interested parties. Best regards, Fabrizio Lillo ------------------------------------- Announcement and call for participation at Real-time Epidemic Datathon https://www.epidemicdatathon.com Real-time Epidemic Datathon is a collective open-source real-time forecasting challenge aimed at joining forces to push modeling limits further for real-time epidemic forecasting at large scale. Organized by ETH Zürich, UCLA, EU SoBigData++ project, NYU COURANT, and other partner organizations. The goal of this project is to bring together researchers and students from different disciplines (e.g., computer science, epidemiology, physics, statistics, applied math, ...) and advance real-time epidemic modeling frameworks. We provide a platform for scientific exchange and discussion. Participating teams can submit predictions of COVID-19 case evolutions in different countries and evaluate/compare their modeling approaches. Who can join? Everyone can join and contribute in various ways: (i) register as a developer (individual or with a team) of a real-time epidemic forecasting model, (ii) register and monitor scientific developments (see our disclaimer section), or (iii) share the news about this event and help us to reach more contributors. -------------------------------------- ---------------------------------------- Fabrizio Lillo Dipartimento di Matematica Università di Bologna ITALY Personal website: fabriziolillo.wordpress.com University website: www.unibo.it/sitoweb/fabrizio.lillo <http://fabriziolillo.wordpress.com/> phone: +39 050509159

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One World Probability Seminar
by enrico priola 30 Mar '20

30 Mar '20

Dear All, maybe you already know https://www.wim.uni-mannheim.de/doering/one-world/ All the best. Enrico -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Open combined PhD-Junior Lecturer position at VU Amsterdam
by Zocca, A. 26 Mar '20

26 Mar '20

Dear colleagues, Here is the announcement for a combined PhD + lectureship position in the math department where I work at the Vrije Universiteit in Amsterdam: PhD-Junior Lecturer position The department of Mathematics at the VU is advertising for a combined PhD - Junior Lecturer position in Mathematics. This is a position meant for a PhD student who also wants to acquire teaching experience and contribute to the educational program of the department as a junior lecturer. The position is for 6 years instead of the usual 4 for a “standard” PhD student. The PhD position is not tied to a particular topic nor supervisor: the research can be in any area that falls within the expertise available in the department. You can find more information for this position at https://workingat.vu.nl/ad/phd-judo-in-mathematics/o44o25 The deadline for applications is April 19th. The link above provides most of the information needed (salary, research-to-teaching ratio, benefits, etc.), but feel free to contact me for further details or if you may be interested to apply to work in the area of applied probability or reinforcement learning. Best regards, Alessandro Zocca ================================ Assistant Professor Department of Mathematics Vrije Universiteit Amsterdam https://sites.google.com/site/zoccaale/

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Call for PhD
by Faggionato, Alessandra 25 Mar '20

25 Mar '20

Buongiorno, ricevo da Alberto Chiarini ed inoltro. Saluti Alessandra ---------- Forwarded message --------- Da: Chiarini, A. <a.chiarini(a)tue.nl> Date: mer 25 mar 2020 alle ore 11:15 Subject: Call for PhD To: faggiona(a)mat.uniroma1.it <faggiona(a)mat.uniroma1.it> ... Applications are invited for a PhD position at TU Eindhoven (TU/e), under the supervision of Alberto Chiarini. This PhD project is part of a larger collaboration between the Analysis and Stochastics groups of the Department of Mathematics and Computer Science, and the PhD student will benefit from being embedded in both groups. The subject of the PhD project will be decided together with the student, and will be chosen from a range of topics on the interface between probability theory and analysis, including Gaussian free fields, particle systems, large deviations, gradient flows and partial differential equations. Ideally, applicants have a sound training in probability theory (including stochastic processes and stochastic differential equations), analysis (including partial differential equations and functional analysis), and measure theory. Students with deficiencies in one of these areas but who are strong in others are nonetheless encouraged to apply. PhD positions at TU/e are salaried, fixed-term, four-year positions; We offer you: - An exciting job in a dynamic work environment. - A full time appointment for 4 years at Eindhoven University of Technology. - The salary is in accordance with the Collective Labour Agreement of the Dutch Universities, increasing from approximately € 2.325 per month initially, to € 2.972 in the fourth year. - An attractive package of fringe benefits, including end-of-year bonus (8,3% in December), an extra holiday allowance (8% in May), moving expenses and excellent sports facilities. Applicants are encouraged to send their applications as early as possible; the position will be filled as soon as a suitable candidate is found. The starting date is open for discussion. In case you decide to apply, please complete the following form: Form for application <https://forms.gle/Ejrurx7w8Mkggrw88> https://forms.gle/Ejrurx7w8Mkggrw88 Department of Mathematics and Computer Science MetaForum Groene Loper 5 5612 AZ Eindhoven The Netherlands -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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