December 2021 - Random - Mailing list — Dipartimento di Matematica, UniPI

Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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Bando RTDB MAT/06 presso il Dipartimento di Matematica, Politecnico di Milano
by Federico Bassetti 25 Jan '22

25 Jan '22

Vi segnalo il seguente bando per una posizione di RTDB nel s.s.d. MAT/06, presso il Dipartimento di Matematica, Politecnico di Milano. https://www.polimi.it/index.php?id=6196&tx_wfqbe_pi1[ID]=771 https://www.polimi.it/fileadmin/user_upload/Lavora-con-noi/allegati_ricerca… La scadenza è il 27-1-2022. Cordiali saluti, Federico Bassetti

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bando RtdB Mat/06 - Sapienza Roma, Dipartimento di Scienze Statistiche
by Luisa Beghin 31 Dec '21

31 Dec '21

Buongiorno, vi segnalo l'uscita del seguente bando per una posizione di RtdB nel s.s.d. Mat/06, presso il Dipartimento di Scienze Statistiche di Sapienza, Università di Roma. La scadenza è il 27-1-2022. Altre informazioni al link https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/185145 Cordiali saluti e auguri di un sereno 2022! Luisa *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ *****************************************************************

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Postdoc in Financial Mathematics at Dublin City University
by Paolo Guasoni 28 Dec '21

28 Dec '21

Dear Colleague, Dublin City University has a Postdoctoral position (Two-year) in Financial Mathematics https://www.dcu.ie/sites/default/files/inline-files/%23RF1609%20Postdoctora… The closing date for the application is January 30th, 2022. With best wishes of Happy New Year, Paolo Guasoni -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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May 5-6, 2022 -- Milan Workshop on Stochastic Games and Martingale Optimal Transport
by Luciano Campi 28 Dec '21

28 Dec '21

Dear all We are glad to announce the workshop on Stochastic Games and Martingale Optimal Transport that will be organized at the University of Milano, Italy, and will take place on May 5-6, 2022. The aim of the workshop is to bring together researchers in the area of stochastic games and martingale optimal transport to present and discuss the most recent developments on the fields. The format of the workshop is in presence only. In the unfortunate case of a worsening of the Covid19 situation and/or if further restrictions are enforced, the workshop will be postponed. Any change in the workshop format will be communicated by means of our website. We encourage and welcome contributions in the main themes of the workshop. The deadline for the submission of the abstract is March 15, 2022. More information on the workshop, on the submission and on the list of invited speakers are available on the website of the workshop: https://sites.google.com/view/sgandmot <https://sites.google.com/view/sgandmot> The link to the workshop is also present on the personal web pages of the organizers. Best Regards, The organizers, Matteo Burzoni Luciano Campi Alessandro Doldi Marco Frittelli Marco Maggis -------------------------------------------------------- Luciano Campi Full Professor University of Milan Department of Mathematics Email: luciano.campi(a)unimi.it Web: sites.google.com/site/lucianocampi1

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Webinar PRISMA
by c.ceci＠unich.it 28 Dec '21

28 Dec '21

Buongiorno a tutti, abbiamo il piacere di annunciare i prossimi seminari online promossi dal Gruppo UMI- PRISMA: Lunedi’ 10 gennaio 2022, ore 16-18 Andrea Pascucci TITLE: Kolmogorov equations: old and new results ABSTRACT: In this talk I present a survey of results about linear and nonlinear equations of Kolmogorov type arising in physics and in mathematical finance. These equations typically satisfy a parabolic Hormander condition and induce rich intrinsic geometric structures. Results about the existence and regularity of solutions are presented. Recent applications to stochastic filtering are also discussed. Elena Issoglio TITLE: McKean SDEs with singular coefficients ABSTRACT: In this talk we consider a class of SDEs with drift depending on the law density of the solution, known as McKean SDEs. The novelty here is that the drift is singular in the sense that it is `multiplied' by a generalised function (element of a negative fractional Sobolev space). Those equations are interpreted in the sense of a suitable singular martingale problem, thus a key tool is the study of the corresponding singular Fokker-Planck equation. We define the notion of solution to the singular McKean equation and show its existence and uniqueness. This is based on a joint work with F. Russo (ENSTA). Collegamento Teams: https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Tutte le informazioni sono reperibili alla pagina web http://www.umi-prisma.polito.it/webinars.html Grazie per l’attenzione, e AUGURI DI BUON ANNO!! Claudia Ceci e Domenico Marinucci

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Invitation to Special Issue "Transition Risk to a Low-Carbon Economy and the Effects on Financial Markets" [Sustainability]
by Andrea Flori 22 Dec '21

22 Dec '21

Apologies for cross-posting Dear all, We want to bring to your attention the Call for papers for the Special Issue "*Transition Risk to a Low-Carbon Economy and the Effects on Financial Markets*" of the journal Sustainability ( https://www.mdpi.com/journal/sustainability) We are targeting original contributions in climate finance and climate econometrics. Submitted papers will undergo a regular review process under the supervision of the Guest Editors (Andrea Flori and Luca Trapin). The deadline for submissions is January 30, 2023. Detailed information on the special issue: https://www.mdpi.com/journal/sustainability/special_issues/transition_risk_… Best wishes, A. Flori and L. Trapin

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revisione della classificazione dei saperi (fwd)
by Tiziano Vargiolu 22 Dec '21

22 Dec '21

Carissimi, credo di fare cosa gradita nel mandare questo link per un'iniziativa UMI di coordinamento per raggiungere una posizione condivisa in vista della revisione della "classificazione dei saperi", che coinvolgera' anche la classificazione in SSD e settori concorsuali. Cordiali saluti a tutti 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 -------------------------------------------------------------------------- ---------- Forwarded message ---------- Date: Wed, 22 Dec 2021 12:49:31 +0100 From: "chiarbru(a)math.unipd.it" <chiarbru(a)math.unipd.it> To: afferenti(a)math.unipd.it Subject: revisione della classificazione dei saperi Un saluto a Voi, su richiesta del MUR il CUN sta' lavorando sulla "revisione della classificazione dei saperi". Questo dovrebbe includere sia la revisione delle classi di laurea, ma anche l'ambito della ricerca, dell' arruolamento e della didattica: scompariranno sia gli SSD che i settori concorsuali e in loro sostituzione avremo una riorganizzazione in macrosettori (attualmente in mat ne abbiamo uno solo). come capite le implicazioni sono molteplici. Vi lascio un primo link alla pagina UMI https://umi.dm.unibo.it/2021/12/10/revisione-della-classificazione-dei-sape… che contiene informazioni sui lavori e un link ad un form per esprimere opinioni. Anche l'UMI ha aperto un tavolo su questa revisione, all'interno abbiamo il collega Riccardo Colpi. ancora auguri di buone feste. bruno chiarellotto -- bruno chiarellotto dip.matematica univ.padova www.math.unipd.it/~chiarbru

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Internship position at BCAM, Bilbao, Spain
by Gianni Pagnini 22 Dec '21

22 Dec '21

Dear colleagues, Two internships position are now open at BCAM - Basque Center for Applied Mathematics in Bilbao, Spain. The duration of each internship is 3 months and the deadline for application is the 1st of March 2022. More details are reported below. Fo any question you can get in contact with Santiago Mazuelas smazuelas(a)bcamath.org <mailto:smazuelas@bcamath.org>. Enjoy your vacations. Regards, Gianni ============== SCOPE: The internships are aimed at students who are about to finish their degree or who have recently completed it. The idea is that the student obtains a first contact with research in machine learning techniques. Specifically, during the internship students will work with cutting-edge techniques in the field of machine learning recently developed by the machine learning department of the Basque Center for Applied Mathematics (BCAM). The internship work will have three main aspects: theory, implementation (Matlab) and practical application (datasets and real problems). APPLICATION: Instructions for applying for internships are at http://www.bcamath.org/en/research/internships <http://www.bcamath.org/en/research/internships>. The deadline for application is March 1st. ADDITIONAL INFORMATION Internships will have an approximate duration of 3 months with a flexible start date depending on the candidate. In addition, the intern will receive sufficient financial compensation to cover his or her accommodation expenses and trips. Information regarding each of the internships can be found at http://www.bcamath.org/documentos_public/archivos/internships/BCAM_Internsh… <http://www.bcamath.org/documentos_public/archivos/internships/BCAM_Internsh…> http://www.bcamath.org/documentos_public/archivos/internships/BCAM_Internsh… <http://www.bcamath.org/documentos_public/archivos/internships/BCAM_Internsh…> — Gianni Pagnini Ikerbasque Research Associate BCAM - Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 gpagnini(a)bcamath.org | www.bcamath.org/gpagnini ( matematika mugaz bestalde )

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EFI7 - extended deadline (fwd)
by Tiziano Vargiolu 21 Dec '21

21 Dec '21

---------- Forwarded message ---------- Date: Tue, 21 Dec 2021 13:12:43 +0000 From: ALESSANDRO SAPIO <alessandro.sapio(a)uniparthenope.it> -- Dear All, we are glad to announce the 7th edition of Energy Finance Italia. The workshop will be organised by the Department of Business and Economics (DiSAE) and by the Department of Business and Quantitative Studies (DiSAQ), Parthenope University of Naples, and will take place on February 10-11, 2022. The workshop welcomes applications of econometrics, forecasting, risk management, portfolio optimisation, and big data techniques to energy markets. We aim to hold the workshop as an in-person event. A limited number of online slots will be reserved to participants who are unable to reach the conference venue due to pandemic restrictions. Any change in the workshop format will be communicated by means of our website and newsletter. The deadline for the submission of a long abstracts (max two pages) has been extended to January 10, 2021. Please, send your abstracts to efi7(a)uniparthenope.it. Notification of acceptance: January 15, 2022. Registration and payment of fees: not later than January 25, 2022. More information on the workshop is available at: http://energyfinanceitalia.unicam.it/index.php/energy-finance-italia-7-work… Best regards, Alessandro Sapio on behalf of the Organizing Committee

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Third Italian Meeting on Probability and Mathematical Statistics
by Tiziano Vargiolu 20 Dec '21

20 Dec '21

Apologies for cross-posting Dear Colleagues, we are pleased to announce the Third Italian Meeting on Probability and Mathematical Statistics (Bologna, Italy, June 13th-16th, 2022) https://site.unibo.it/probstat/en Plenary Speakers Federico Camia, New York University Abu Dhabi & Vrije Universiteit Amsterdam Sandra Cerrai, University of Maryland Andrea Montanari, Stanford University Igor Pruenster, Bocconi University Wolfang Runggaldier, University of Padua Contributions to the Meeting Contributions to the Meeting are given by oral presentations (organized in Contributed Sessions and Organized Sessions) or posters. The abstracts of all contributions have to be submitted through the contribution form in the website of the conference, within March 30, 2022. The official language is English. Each oral presentation has a 25-minute time slot, including 5 minutes for questions. Oral presentations will be arranged in Contributed Sessions and Organized Sessions by the Scientific Committee on the basis of common topics of interest. Organized Sessions An Organized Session is a block of 3 or 4 presentations given by speakers invited by one or more organizers. Organized Session proposals are submitted by the organizer(s) through the session form in the website of the conference, within March 30, 2022. Proposals of Organized Sessions from early career researchers will be warmly welcome. Speakers of an organized session have to submit their abstract through the contribution form within March 30, 2022. Participants are encouraged to submit their proposals or Organized Sessions on a wide range of theoretical and applied topics in Probability and Mathematical Statistics. A non-exhaustive list is the following: Algebraic Statistics, Bayesian Nonparametrics, Dependence Modeling, Foundations of Probability, Fractional Stochastic Dynamics, Game-Theoretical Probability, High Dimensional Data Analysis, Information and Stochastic Geometry, Insurance Mathematics, Interacting Particle Systems, Mathematical Ecology, Measure Valued Processes, Optimal Transport and its Applications in Probability, Probabilistic Data Science, Quantum Probability, Random Fields, Risk Analysis and Reliability, Simulation in Probability and Statistics, Statistical Inference, Stochastic Differential Equations, Stochastic Dynamics in Statistical Physics, Stochastic Financial Markets, Stochastic Models in Biology and Medicine, Stochastic Processes and Applications, Stochastic Networks and Queueing, Teaching Probability and Mathematical Statistics, Uncertainty Quantification. We look forward meeting you soon. The Scientific Committee Claudia Ceci, Paolo Dai Pra, Antonio Di Crescenzo, Franco Fagnola, Marco Ferrante, Franco Flandoli, Antonio Lijoi, Domenico Marinucci, Andrea Pascucci, Franco Pellerey, Laura Sacerdote The Local Organizing Committee Fabio Antonelli, Elena Bandini, Massimo Campanino, Andrea Cosso, Marco Di Francesco, Alberto Lanconelli, Stefano Pagliarani, Andrea Pascucci, Pietro Rigo, Tiziano Vargiolu --------------------------------------------------------------- Andrea Pascucci andrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci --------------------------------------------------------------- "I have studied many times The marble which was chiseled for me ? A boat with a furled sail at rest in a harbor. In truth it pictures not my destination But my life. For love was offered me and I shrank from its disillusionment; Sorrow knocked at my door, but I was afraid; Ambition called to me, but I dreaded the chances. Yet all the while I hungered for meaning in my life. And now I know that we must lift the sail And catch the winds of destiny Wherever they drive the boat. To put meaning in one?s life may end in madness, But life without meaning is the torture Of restlessness and vague desire ? It is a boat longing for the sea and yet afraid."

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13th International Workshop on Stochastic Models and Control (SMC 2022)
by Giorgio Ferrari 15 Dec '21

15 Dec '21

Dear Colleagues, it is my pleasure to forward the following message. Best wishes, Giorgio Ferrari %%%%%%%%%%%% It is our pleasure to announce the 13th International Workshop on Stochastic Models and Control (SMC 2022) March 14-18, 2022, Lübeck-Travemünde, Germany: https://user.math.uni-kiel.de/SMC2022 The workshop on Stochastic Models and Control (SMC) 2022 in Lübeck-Travemünde is the 13th edition in the series of these conferences. At SMC, experts from different fields of stochastic control and optimization meet to exchange ideas and to discuss recent developments. The workshop aims to connect theory with applications which can be found in various areas like stochastic networks, game theory, statistics, operations research, finance and insurance, energy economics, molecular dynamics, robotics, communication technology. The goal is to foster existing collaborations and to identify and explore directions for future research. Confirmed invited speakers are Fred Benth (University of Oslo) Sara Biagini (LUISS G. Carli, Rome) Christa Cuchiero (University of Vienna) Francois Dufour (University of Bordeaux) Erik Ekström (University of Uppsala) Anna Jaskiewicz (Wrocław University) Sigrid Källblad (KTH Stockholm) Zbigniew Palmowski (Wrocław University) Huyên Pham (University Paris 7 Diderot) Dylan Possamai (ETH Zürich) Łukasz Stettner (Polish Academy of Sciences) Claudia Strauch (University of Aarhus) Contributed talks are highly welcome and abstracts can be submitted until January 10. Deadline for registration is January 17. For further details please visit the webpage (link above) or contact us (smc2022(a)math.uni-kiel.de) At this point in time, the development of the pandemic is of course difficult to predict. We expect that there will be some requirements. Participation is presumably only allowed for vaccinated and recovered persons. More details will be provided later. Best regards, Sören Christensen -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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Conferenza in onore di Bruno Betrò - 25 gennaio 2022
by Sara Pasquali 15 Dec '21

15 Dec '21

Siamo lieti di annunciare che il giorno 25 gennaio 2022 si terrà una conferenza in onore di Bruno Betrò, dedicata alla sua attività a favore della scienza come studioso, nel Comitato per la Matematica del CNR, nel sindacato. La conferenza si terrà in forma ibrida. Per chi intende partecipare di persona, ci troveremo, a partire dalle ore 9.30, presso l'Area della Ricerca di Milano in via A. Corti, 12. In alternativa, sarà possibile collegarsi a distanza e a tutti gli interessati verrà inviato il link per il collegamento. Il programma sarà diviso in due parti. La mattina ci saranno alcune presentazioni di carattere scientifico legate alle ricerche condotte da Bruno nella sua lunga carriera di scienziato e il pomeriggio sarà dedicato a presentazioni sulle sue attività in campo sindacale, istituzionale nel CNR e nel suo istituto (CNR IAMI prima e CNR IMATI Milano poi). Il programma dettagliato può essere consultato al sito https://arm.mi.imati.cnr.it/betro/index.html La partecipazione è gratuita ma, per motivi organizzativi, chiediamo di registrarsi al sito https://arm.mi.imati.cnr.it/betro/contact.html Nella speranza di avervi come partecipanti vi inviamo i nostri migliori saluti. Il Comitato Organizzatore Maria Teresa Artese Tommaso Del Viscio Maria Grazia Grizzaffi Sara Pasquali Antonio Pievatolo Fabrizio Ruggeri (presidente)

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Call for abstracts: "Statistical mechanics approaches to earth system dynamics'' EGU Session
by Giulia Carigi 13 Dec '21

13 Dec '21

Dear Colleagues, with apologies for cross-posting, we would like to draw your attention to the session NP1.1 ``Statistical mechanics approaches to earth system dynamics: invariant measures, response, and large deviations'' to be held as part of the upcoming General Assembly of the European Geosciences Union (Vienna, Austria, 3rd to 8th of April 2022). A short description of the session can be found here https://meetingorganizer.copernicus.org/EGU22/session/42646 or at the end of this email. We would be very happy if you could consider submitting an abstract to this session. IMPORTANT: deadline for abstract submission is 12 January 2022, 13:00 CET For further info on abstract submission see here: https://egu22.eu/abstracts_and_programme/how_to_submit_an_abstract.html EGU2022 will be a hybrid conference – more information at https://egu22.eu/about/provisional_meeting_format.html Best wishes, Jochen Broecker (Convener), Vera Melinda Galfi, Giulia Carigi, Georgios Margazoglou, Jeroen Wouters (Co-Conveners) SESSION DESCRIPTION: The equations governing the dynamics of the atmosphere and the ocean provide us with an enormously powerful tool to understand and predict the future evolution of these dynamics. By integrating these equations forward in time from a given initial condition, we are able to produce highly realistic trajectories of the earth system's temporal evolution. A number of scientific questions however consider the statistical behaviour of solution ensembles, with the heterogeneity coming from different (yet ``typical'') initial conditions or random external forces. Examples are questions related to the global mean temperature or rainfall, the frequency of extreme events, but also questions regarding the average predictability of the system or its susceptibility to external perturbations. Statistical mechanics provides a framework in which such questions can be addressed. Rather than considering individual solutions, randomness and uncertainty are introduced to describe the ensemble of solutions in a probabilistic manner. This statistical mechanics approach to earth system dynamics will be the theme of this session. Contributions will cover a broad range of aspects from theory to applications and from mathematics to climate science. Topics include: * Novel mathematical techniques from the theory of stochastic processes and PDE's * Examples of ideas and methods from statistical mechanics being applied to the earth system (including, but not limited to, linear response, model reduction, large deviations and related algorithms) * Potential future applications, for instance in downscaling, data assimilation and parametrisations ----------------------------------------------------------------- Giulia Carigi, Postdoctoral Research Fellow Department of Mathematics and Statistics University of Reading, UK

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Seminar by A. Picarelli in Padova (this Friday)!
by Giorgia Callegaro 13 Dec '21

13 Dec '21

Dear all, it is a pleasure to announce the forthcoming seminar by *Athena Picarelli* (Università di Verona), which will be held *in person* room 2BC30 of the Mathematics Department (Torre Archimede) of the University of Padova and online, via Zoom, this Friday. Here are the details: * Date and time: 17 December, 14.30 pm * Title: *Optimal management of pumped hydroelectric production with state constrained optimal control* * Abstract: We present a novel technique to solve the problem of managing optimally a pumped hydroelectric storage system. This technique relies on representing the system as a stochastic optimal control problem with state constraints, these latter corresponding to the finite volume of the reservoirs. Following the recent level-set approach presented in O. Bokanowski, A. Picarelli, H. Zidani, State-constrained stochastic optimal control problems via reachability approach, SIAM J. Control and Optim. 54 (5) (2016), we transform the original constrained problem in an auxiliary unconstrained one in augmented state and control spaces, obtained by introducing an exact penalization of the original state constraints. The latter problem is fully treatable by classical dynamic programming arguments. * Zoom link: please visit the webpage https://www.math.unipd.it/~bianchi/seminari/ Thanks for your attention and see you soon in Padova, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Scouting Internazionale presso la Scuola IMT, Lucca
by Irene Crimaldi 13 Dec '21

13 Dec '21

Carissimi, scrivo per portare alla vostra attenzione lo scouting internazionale avviato dalla Scuola IMT nelle aree di Statistica, Econometria e Machine Learning. Vi prego di diffondere la notizia. Grazie. Cordiali saluti, Irene Crimaldi Statistica, Econometria, Machine Learning *Scadenza per la presentazione della manifestazione di interesse: 31 marzo 2022 ore 23:59 (ora italiana)* Candidature ideali sono quelle di studiosi con un solido background di ricerca a livello internazionale su temi di statistica, econometria o machine learning. La Scuola IMT è interessata a candidate/i con una eccellente produzione scientifica e una solida esperienza nello sviluppo di metodi statistici applicati all'analisi dei sistemi economici. La posizione fa parte di una serie di iniziative promosse dalla Scuola IMT per lo sviluppo strategico delle attività di data science con applicazioni in diversi domini e con il contributo di diversi ambiti disciplinari. Le candidate / i candidati devono possedere una consolidata esperienza nella conduzione di gruppi di ricerca, specifiche esperienze di insegnamento e supervisione studenti a livello dottorale, un'ampia produzione scientifica con chiara evidenza dei risultati sinora conseguiti e delle future prospettive. Tutte le attività della Scuola IMT, incluse le attività didattiche, sono condotte in lingua inglese. I potenziali candidati sono invitati a compilare il modulo on-line allegando: 1. un curriculum vitae con la lista delle pubblicazioni 2. una lettera di motivazione 3. tre nomi di esperti ai quali chiedere lettere di referenze.

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Seminar in Statistics LORENZO MASOERO
by Pierpaolo De Blasi 10 Dec '21

10 Dec '21

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 17 Dicembre 2021, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Lorenzo Masoero *(Amazon) Title: *Improved prediction and optimal sequencing strategies for genomic variant discovery via Bayesian nonparametrics* Abstract:Despite the advent of Big Data, data-gathering in many domains can still be an expensive process that necessitates careful planning when operating under a fixed, limited budget. For instance, sequencing new genomic data is a complex procedure that requires careful tuning: researchers can spend resources to sequence a greater number of genomes (quantity), or spend resources to sequence genomes with increased accuracy (quality). In this talk, I consider the common setting in which scientists have already conducted a pilot study to reveal variants in a genome and are contemplating a follow-up study. Spending additional resources has the potential to reveal new variations in the genome, and thereby new genetic insights. Therefore, practitioners are interested in (i) predicting how many new discoveries they will make under different experimental design choices. In turn, they can leverage these predictions to optimally allocate available resources in the design of a future experiment, e.g. (ii) to maximize the number of future discoveries or (iii) to optimize the usefulness of a future experiment for the task at hand, e.g. the power of an associated statistical test. I discuss novel methodologies to solve the problems mentioned above. Our approach relies on a Bayesian nonparametric formulation that facilitates (i) prediction for the number of new variants in the follow-up study based on the pilot study. We show empirically that, when experimental conditions are kept constant between the pilot and follow-up, our method's prediction is competitive with the best existing methods. Unlike current methods, though, our new method allows practitioners to change experimental conditions between the pilot and the follow-up. We demonstrate how this distinction allows our method to be used for more realistic predictions and for optimal allocation of a fixed budget between quality and quantity. In particular, we first show how, under a fixed budget, my predictions can be used to maximize (ii) the number of new genomic variants discovered in a follow-up study. Last, we show how our framework can guide practitioners in other experimental design problems, and specifically how to achieve (iii) the highest possible power in statistical tests in the context of rare variants association studies. ------------------------------------------------ In ottemperanza alle norme anti Covid, per partecipare in presenza è necessario prenotarsi tramite il seguente form online: https://forms.gle/jVPLoDCQ1ANSB5dg8 Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/88971670320?pwd=VXFseHNlYm5EKzFmZ25oTGdlRWw4QT09> Meeting ID: 889 7167 0320 Passcode: 362208 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats 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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(PMS)^2 online talk: Martin Huesmann (Dec 13, 5:30pm)
by Mario Maurelli 08 Dec '21

08 Dec '21

Dear colleagues, We are happy to announce the following online talk: Speaker: *Martin Huesmann* (Universität Münster) *Title*: A fluctuation result for the optimal matching problem *Abstract*: The optimal matching problem is one of the classical random optimization problems. While the asymptotic behavior of the expected cost is well understood only little is known for the asymptotic behavior of the optimal couplings - the solutions to the optimal matching problem. In this talk we show that at all mesoscopic scales the displacement under the optimal coupling converges in suitable Sobolev spaces to a Gaussian field which can be identified as the curl-free part of a vector Gaussian free field. Based on joint work with Michael Goldman. Date and time: *Monday December 13, 17:30-18:30* (Rome time zone) *Zoom link*: https://us02web.zoom.us/j/8342220461 This is a talk of the *(PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics* organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. For more information see the dedicated webpage: https://paviamilanoseminars.wordpress.com/ Participation is free and welcome! Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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4 Assistant Professorships + 1 Harrison position in Statistics @Warwick
by Massimiliano ... 08 Dec '21

08 Dec '21

Dear all, 4 assistant professorships (permanent with a 5 year probation) and 1 Harrison position(until October 2024) are available at the Department of Statistics, University of Warwick, seewww.warwick.ac.uk/statjob<http://www.warwick.ac.uk/statjobs>for more details. All applications close on January 9. For the Assistant professorships, we are particularly keen in making appointment in the following areas: * Applied Statistics * Data Science * Stochastic Finance but welcome applications across the spectrum of Probability and Statistics, broadly interpreted, seehttps://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair&jcode=1880930&vt_template=1457&adminview=1 I'd appreciate if you could circulate this information around your networks, and encourage applications from talented early career researchers you are aware of. Feel free to get back to me if you have any questions. Best wishes, Massimiliano ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Reminder -- Online Quantitative Finance Seminars @SNS, December 10, 2021
by Giulia Livieri 07 Dec '21

07 Dec '21

Dear all, We would like to announce the following two Online Seminars @SNS: *December 10, 2021 at 3PM (CEST)* *Speaker: *Prof. Agostino Capponi (Columbia University) *Title: * The Adoption of Blockchain-based Decentralized Exchanges (joint work with Dr. Ruizhe Jia) *Abstract: *We show that the blockchain order execution mechanism and liquidity pooling create arbitrage rents in decentralized exchanges. The arbitrage rent raises the cost of liquidity provision and imposes negative externalities on users of the underlying blockchain. In equilibrium, automated market makers (AMMs) are adopted by liquidity providers only if exchange rates of token pairs are sufficiently stable. A pricing curve with higher curvature reduces arbitrage rents, but also decreases trading activities. We provide statistical support for our main model implications using transaction-level data of AMMs. *Link: * https://teams.microsoft.com/l/meetup-join/19%3ameeting_NjAyODk0YzQtNmVmYS00… We are looking forward to seeing you at the seminars! Best regards, Giulia

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Seminario Online :: Panaretos@DSS-Sapienza
by Pierpaolo Brutti 07 Dec '21

07 Dec '21

...ricevo e inoltro... --P ----------------------------------------------------------------------------- A v v i s o d i S e m i n a r i o O n l i n e ----------------------------------------------------------------------------- Venerdì 10 Dicembre, ore 12:00 ----------------------------------------------------------------------------- Zoom: [Link <https://uniroma1.zoom.us/j/86881977368?pwd=SWRFcVFjMDZTa0lXZk05TE1zNm5adz09>] [code: 432940] ----------------------------------------------------------------------------- VICTOR PANARETOS <http://smat-files.epfl.ch/victor/> (Ecole Polytecnique Federale de Lausanne) terrà un seminario dal titolo: TESTING FOR THE RANK OF A COVARIANCE KERNEL ----------------------------------------------------------------------------- Summary How can we discern whether the covariance of a stochastic process is of reduced rank, and if so, what its precise rank is? And how can we do so at a given level of confidence? This question is central to a great deal of methods for functional data, which require low-dimensional representations whether by functional PCA or other methods. The difficulty is that the determination is to be made on the basis of i.i.d. replications of the process observed discretely and with measurement error contamination. This adds a ridge to the empirical covariance, obfuscating the underlying dimension. We describe a matrix-completion inspired test statistic that circumvents this issue by measuring the best possible least square fit of the empirical covariance's off-diagonal elements, optimised over covariances of given finite rank. For a fixed grid of sufficiently large size, we determine the statistic's asymptotic null distribution as the number of replications grows. We then use it to construct a bootstrap implementation of a stepwise testing procedure controlling the family-wise error rate corresponding to the collection of hypotheses formalising the question at hand. Under minimal regularity assumptions we prove that the procedure is consistent and that its bootstrap implementation is valid. The procedure circumvents smoothing and associated smoothing parameters, is indifferent to measurement error heteroskedasticity, and does not assume a low-noise regime. Based on joint work with Anirvan Chakraborty. -----------------------------------------------------------------------------

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[MLfF] Program: 3rd One-Day International Workshop on MACHINE LEARNING FOR FINANCE
by Marco Corazza 06 Dec '21

06 Dec '21

Kind All, I'm glad to send you the program of the Remote *3rd One-Day International Workshop onMACHINE LEARNING FOR FINANCE* (*https://www.unive.it/data/agenda/3/55613 <https://www.unive.it/data/agenda/3/55613>*). For receiving the *Zoom address*, *ID* and *passcode*, it is necessary to communicate the email address of the attendee to corazza(a)unive.it. I hope to see you at the workshop! The warmest regards, Marco Corazza ***** ***** ***** MORNING ***** ***** ***** 08:50-09:00 - Openings 09:00-09:30 - He X., Cong L. W., Feng G., He J.: "Asset pricing with Panel Trees under global split criteria" 09:30-10:00 - Barbopoulos L. G., Dai R., Putniņš T., Saunders J. A.: "Market Efficiency in the age of Machine Learning" 10:00-10:30 - Caliciotti A., Corazza M., Fasano G.: "Regression models and Machine Learning approaches for Bitcoin price forecast" 10:30-11:00 - Kumar P.: "Deep Hawkes process for high-frequency market making" 11:00-11:15 - Break 11:15-11:45 - Al-Ameer A., Alshehri K.: "Conditional Value-at-Risk for quantitative trading: A Direct Reinforcement Learning approach" 11:45-12:15 - Carrillo Menéndez S., Hassani B.: "Expected Shortfall reliability – Added value of traditional statistics and advanced Artificial Intelligence for market risk measurement purposes" 12:15-12:45 - Daluiso R., Nastasi E., Pallavicini A., Polo S.: "Reinforcement Learning for options on target volatility funds" 12:45-13:15 - Dell’Era M.: "Local volatility and Hopfield Neural Network" 13:15-13:45 - Break ***** ***** ***** AFTERNOON ***** ***** ***** 13:45-14:15 - Goudenège L., Molent A., Zanette A.: "Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem" 14:15-14:45 - Jaydip S., Dutta A., Mehtab S.: "Portfolio optimization using Deep Learning models - A comparative study of risk-based portfolio design approaches" 14:45-15:15 - Lillo F., Livieri G., Marmi S., Solomko A., Vaienti S.: "Analysis of bank leverage via dynamical systems and deep neural networks" 15:15-15:45 - Scholz M.: "Forecast combinations for benchmarks of long-term stock returns using Machine Learning methods" 15:45-16:00 - Break 16:00-16:30 - Ameridad B., Cattaneo M., Luciano E., Kenett R.: "AI and Adversarial AI in insurance: Background, examples and future implications" 16:30-17:00 - Gnoatto A., Picarelli A., Reisinger C.: "Deep XVA Solver - A Neural Network based counterparty Credit Risk management framework" 17:00-17:30 - Mansouri S., Momtaz P. P.: "Financing sustainable entrepreneurship: ESG measurement, valuation, and performance in token offerings" 17:30-18:00 - Modina M., Zedda S.: "A quantitative identification and description of the default syndromes affecting the Italian SMEs" 18:00-18:10 - Closings -- Marco Corazza, Ph.D. Department of Economics - Ca' Foscari University of Venice San Giobbe, Cannaregio 873 - 30121 Venezia, Italy Mobile: (+39) 366 602-9134 Phone: (+39) 041 234-6921 Fax: (+39) 041 234-7444 E-mail: corazza(a)unive.it Editor-in-Chief: Mathematical Methods in Economics and Finance - www.unive.it/m2ef --

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Posizione da Assistant Professor in Statistics alla Luiss
by Marco Perone Pacifico 03 Dec '21

03 Dec '21

Care colleghe e colleghi, la Luiss ha pubblicato una "call for expression of interest" per una posizione da Assistant Professor in Statistics and Data Science (tutti i dettagli a questo link<https://www.luiss.edu/call-expression-interest-2021/assistant-professorship…>). La call rimarrà aperta fino a metà febbraio, ma le selezioni inizieranno a gennaio. Per chi fosse interessato, il consiglio è di inviare la domanda entro il 31 dicembre 2021. Un saluto, Marco Perone Pacifico Marco Perone Pacifico Professor of Statistics Department of Economics and Finance LUISS University Viale Romania 32 00197 Roma, ITALY La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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concorso RTDB MAT/07 Univ. Roma Tre
by giuliani＠mat.uniroma3.it 03 Dec '21

03 Dec '21

Cari tutti, vorrei segnalare l'emissione di un bando di concorso per un posto di Ricercatore a Tempo Determinato di tipo B in Fisica Matematica (SC 01/A4 - SSD MAT/07) presso il Dipartimento di Matematica e Fisica dell'Università degli Studi Roma Tre. Il termine di scadenza delle domande è il 28/10/2021. Il bando integrale è disponibile al seguente indirizzo: https://www.albopretorionline.it/uniroma/alboente.aspx sotto la voce "Concorsi e Selezioni" in pubblicazione dal 28-09-2021 al 28-10-2021 (si veda la voce "Procedure pubbliche per complessivi 43 posti di Ricercatore a tempo determinato, Art. 24 c.3 lettera B) Legge 240/2010, presso i Dipartimenti dell'Ateneo, con modello di domanda in word e versione in lingua inglese. Avviso pubblicato sulla G.U. n. 77 del 28/09/2021, scadenza presentazione domande 28/10/2021") Il link diretto al bando è il seguente: https://www.albopretorionline.it/uniroma/download.aspx?ida=614591&pubb=1&n=1 con allegati disponibili al seguente link: https://www.albopretorionline.it/uniroma/download.aspx?ida=614591&pubb=1&n=4 Vi prego di inoltrare le informazioni sul bando a tutti i colleghi potenzialmente interessati. Grazie, cordiali saluti, Alessandro Giuliani

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a post-doc position in Naples
by malongob＠unina.it 03 Dec '21

03 Dec '21

Cari colleghe e colleghi, si è aperto un bando per un assegno di ricerca di 1 anno presso il Dipartimento di Matematica e Applicazioni dell?Università degli Studi di Napoli Federico II. Il bando ha scadenza 13 Dicembre 2021. Titolo del progetto: ? ANALISI MATEMATICO-STATISTICA DI PROCESSI STOCASTICI PER DINAMICHE DI SISTEMI COMPLESSI E LORO AFFIDABILITA'?. L?obiettivo del progetto è lo studio di processi stocastici atti a creare nuovi modelli matematici per dinamiche di particelle interagenti e di sistemi coerenti, nonché analisi di affidabilità, di misure di informazione e dei relativi problemi differenziali. Trovate i dettagli del bando all'indirizzo http://www.unina.it/ricerca/bandi-nazionali/assegni-di-ricerca Cordialmente, Maria Longobardi ENGLISH VERSION Dear colleagues, A call for a 1 year post-doc position is open at the Dipartimento di Matematica e Applicazioni, University of Naples Federico II, with deadline December 13th, 2021. The title of the project is: ? MATHEMATICAL-STATISTICAL ANALYSIS OF STOCHASTIC PROCESSES FOR DYNAMICAL OF COMPLEX SYSTEMS AND THEIR RELIABILITY?. The aim is to investigate stochastic processes for new mathematical models of interacting particles and coherent systems, as well as reliability analysis, information measures and related differential problems. You find the details of the call at the page: http://www.unina.it/ricerca/bandi-nazionali/assegni-di-ricerca Unfortunately the call is only in Italian, but please let me know if you need help in understanding it or in applying. Best regards Maria Longobardi Maria Longobardi, Ph.D. in Applied Mathematics Associate Professor of Probability and Mathematical Statistics E-mail: maria.longobardi(a)unina.it Dipartimento di Biologia Università degli Studi di Napoli FEDERICO II Via Cintia - 80126 Napoli - Italy Studio 114 - V livello del Dipartimento di Matematica e Applicazioni Tel. +39 081 675620

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Seminario Prof. Anand N Vidyashankar
by Claudio Agostinelli 01 Dec '21

01 Dec '21

Buon pomeriggio a tutti, il giorno 3 Dicembre 2021 (Venerdi) alle ore 12.00 il Prof. Anand N Vidyashankar (George Mason University) terra' un seminario presso l'aula seminari del dipartimento di Matematica dell'Universita' di Trento dal titolo: Sharp large deviations in sequential inference tutte le informazioni su http://datascience.maths.unitn.it/events/si2021/index.html Sara' possibile seguire il seminario anche via zoom: https://unitn.zoom.us/j/85200390505 Meeting ID: 852 0039 0505 Passcode: 494451 Cordiali saluti, Claudio Agostinelli -- ------------------------------------------------------------- Claudio Agostinelli Dipartimento di Matematica Universita' di Trento email: claudio.agostinelli(a)unitn.it ------------------------------------------------------------ Per favore non mandatemi documenti in Microsoft Office/Apple iWork. Spediscimi invece OpenDocument! http://fsf.org/campaigns/opendocument/ Please do not send me Microsoft Office/Apple iWork documents. Send OpenDocument instead! http://fsf.org/campaigns/opendocument/ ------------------------------------------------------------

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2 years Post-doc position in Florence
by Luisa Andreis 01 Dec '21

01 Dec '21

ITALIAN VERSION (ENGLISH BELOW)———————————————————— Cari colleghi e colleghe, si è aperto un bando per un assegno di ricerca di 2 anni al Dipartimento di Matematica e Informatica “Ulisse Dini” dell’Università di Firenze. Il bando ha scadenza 8 Dicembre 2021. Titolo del progetto: : "Tecniche di meccanica statistica in probabilità e geometria”. L’obiettivo del progetto e’ studiare come l’approccio statistico-meccanico sia stato applicato alla risoluzione di problemi di geometria (in particolare geometria complessa) e investigare altri possibili collegamenti tra le due discipline. Trovate i dettagli del bando al fondo di questa email. Per ulteriori informazioni rivolgersi a luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Vi preghiamo di diffondere con chiunque pensiate possa essere interessata/o. Cordiali saluti, Luisa Andreis, Gianmarco Bet e Daniele Angella ENGLISH VERSION———————————————————— Dear colleagues, A call for a 2 years post-doc position is open at the Mathematics Department in Florence, with deadline December 8, 2021. The title of the project is: "Statistical-mechanics techniques in Probability and Geometry”. The aim is to investigate how the statistical mechanic approach has successfully been applied to the study of problems coming from geometry (in particular complex geometry) and the interplay between the two disciplines. You find the details of the call at the bottom of this email. Unfortunately the call is only in Italian, but please let us know if you need help in understanding it or in applying. We will be happy to help. For any further information, please contact: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Please, feel free to forward this announcement to whoever you think might be interested. Best regards, Luisa Andreis, Gianmarco Bet e Daniele Angella DETAILS OF THE CALL ------------------------------------------------------------------------------------------------ Official call (only in italian): https://titulus.unifi.it/albo/viewer?view=files%2F004336873-UNFICLE-7daf4f5… <https://titulus.unifi.it/albo/viewer?view=files/004336873-UNFICLE-7daf4f5f-…> Title of the project: "Statistical-mechanics techniques in Probability and Geometry” Principal Investigators: Luisa Andreis, Gianmarco Bet, Daniele Angella (University of Florence) ---------------------------------------------------------------------------------- Luisa Andreis ------------------------------------------------------- RTD-A Dipartimento di Matematica e Informatica “Ulisse Dini" Università degli Studi di Firenze Viale Morgagni 65, 50134, Firenze, IT Personal webpage: https://sites.google.com/view/luisaandreis/home Email: luisa.andreis(a)unifi.it

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ECSO-CMS 2021 First Call for Papers
by Martina Nardon 01 Dec '21

01 Dec '21

_First Call for Papers_ *Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference * *7-9 July 2021, Venice, Italy* The organizers are delighted to invite you to ECSO – CMS 2021 that will be held in Venice, Italy, 7-9 July 2021, at the Department of Economics - Ca’ Foscari University of Venice, in the San Giobbe Economics Campus. /This is the rescheduled event for the Conference ECSO – CMS 2020, suspended due to the COVID -19 pandemic emergency. We are planning to organize the conference in presence in 2021./ ECSO - CMS 2021 is jointly organized by the Department of Economics of Ca’ Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization. ECSO 2021 is the 3rd edition of a stream of conferences organized by the EURO Working Group on Stochastic Optimization (EWGSO). The previous editions were held in Paris (2014) and Rome (2017). The scope of the conference is to bring together researchers and professionals in Stochastic Optimization and its applications in different fields spacing from economics and finance to supply chain, logistics, etc. CMS 2021 is the 17th edition of an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of the conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science. This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world.The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included. VENUE: Department of Economics, Ca’ Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2021 <http://www.unive.it/ecsocms2021> Conference Secretariat: ecsocms2021(a)unive.it Conference hashtag: #ecsocms2021 IMPORTANT DATES Abstract submission: *March 31, 2021* Notification of acceptance: *April 20, 2021* Early registration: *April 30, 2021* Conference: J*uly 7-9, 2021* CONFIRMED INVITED SPEAKERS DARINKA DENTCHEVA, Stevens Institute of Technology (USA) DAVID MORTON, Northwestern University (USA) GAH-YI BAN, University of Maryland (USA) DANIEL KUHN, École polytechnique fédérale de Lausanne (CH) GIORGIO CONSIGLI, Università di Bergamo (I) A *prize for the student best paper* will be awarded. Papers should be nominated via e-mail by the students’ supervisors (ecsocms2021(a)unive.it) *Deadline for the submissions to the prize is May 15.* The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants’ papers will be considered for the prize. Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen). We are looking forward to seeing you in Venice. Best Regards, Diana Barro, Stein-Erik Fleten and Martina Nardon Organizing and Program Committee Chairs -------------------------------------- Dr. Martina Nardon Dipartimento di Economia Università Ca' Foscari Venezia San Giobbe - Cannaregio, 873 30121 Venezia, Italy tel. +39 041 234 7413 --------------------------------------

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Ph.D Positions at Ulm University in Mathematical Statistics, Mathematical Finance and Data Science
by Imma Curato 01 Dec '21

01 Dec '21

Dear all, a call for Ph.D. positions (Akademische Mitarbeiter) is open at Ulm University in the area of Mathematical Statistics, Mathematical Finance, and Data Science. During the Ph.D. studies is possible to take part in the project "PAC Bayesian bounds for light cone, neighborhood, and trajectories data”, a new investigation on the generalization performance of linear regression applied to spatio-temporal data sets, led by PD Dr. Imma Curato, or to work within the research group of Prof. Dr. Stelzer. The deadline is December 19th. For more information on the position and how to apply see the flyer attached, or please write to imma.curato(a)uni-ulm.de Thanks for sharing the announcement and best wishes to all. Imma Curato

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