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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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