August 2020 - 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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Workshop announcement - "Mean Field Games in Economics", September 7-8, 2020
by Alessandro Calvia 24 Aug '20

24 Aug '20

Dear colleagues, we are pleased to announce the upcoming online workshop "Mean Field Games in Economics", that will take place on September 7-8, 2020. The workshop is jointly organized by LUISS University and the Einaudi Institute for Economics and Finance (EIEF). The workshop is interdisciplinary in nature, with the aim of bringing together mathematicians and economists working on Mean Field Games either from a theoretical or an applied point of view. The workshop will be held from 3 p.m. to 7 p.m. (both afternoons), on the Zoom platform, and will feature talks given by: Fernando Alvarez, the University of Chicago, Galo Nuño Barrau, Banco de España, Pierre Cardaliaguet, Université Paris-Dauphine, Benjamin Moll, London School of Economics, Alessio Porretta, Università di Roma Tor Vergata, Panagiotis E. Souganidis, the University of Chicago. If interested in participating, please send an e-mail to acalvia(a)luiss.it by Monday, 31 August 2020, in order to give you all the relevant details and the link to access the workshop. Please, feel free to circulate this message to any colleagues or contacts you think may be interested. We are looking forward to seeing you online! The organizing committee, Alessandro Calvia Fausto Gozzi Francesco Lippi Giovanni Zanco

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postdoctoral position in Bern
by Fabio Bellini 24 Aug '20

24 Aug '20

---------- Forwarded message --------- Da: <johanna.ziegel(a)stat.unibe.ch> Subject: Posting on Italian lists To: <fabio.bellini(a)unimib.it> ******************************************************** Postdoctoral position on Statistical Verification of Weather Warnings In the framework of a collaboration being currently set up between the University of Bern and the Swiss Federal Office of Meteorology and Climatology (Meteoswiss), we are calling for applications for a 2-year postdoctoral position (80%-100%) to be funded subject to successful completion of the collaboration contract. The main goal is to investigate and develop a statistical framework for the verification of weather warnings. Warnings are traditionally issued for specific (often fixed) regions in space, defined time periods, and certain event types. Existing verification therefore often interprets warnings as forecasts of binary categorical events and counts of hits, misses, and false alarms form the basis to assess quality of warnings. In contrast to standard weather forecasts, the non-event (no warning, no event) is often not well defined for warnings, and near hits/misses create difficulties. Furthermore, the temporal complexities of warnings should be considered. To maximize user-relevance, the framework for the verification of warnings will be developed in close collaboration with ongoing sociological studies at MeteoSwiss to better understand how warnings are used in practice. The recruited postdoctoral researcher will be mentored from the academic side by Prof. Johanna Ziegel, Institute for Mathematical Statistics and Actuarial Sciences, and affilliated with the Oeschger Center for Climate Change Research (University of Bern). The recruited Postdoc will also work a substantial part of her/his time at MeteoSwiss (near Zürich) under the guidance of Dr. Jonas Bhend and Dr. Mark Liniger. This will ensure an optimal know-how transfer on the understanding of the motivating problems, meteorological expertise, the exact user needs and practical applicability and the work can build upon prior experience at MeteoSwiss. The ideal candidate either has a PhD in statistics with a strong taste for applications in areas related to meteorology and climate sciences, or a PhD in climate sciences with a strong background in theoretical and applied statistics. In all cases, the position will require outstanding data analysis and implementation skills, very good communication and team player abilities, and academic writing proficiency. We offer a multi-disciplinary environment with the possibility to have an impact on science and society. The starting date is as soon as possible. Applications will be reviewed swiftly and selected candidates will be contacted for interviews. CV, motivation letter and names of three references to be sent to johanna.ziegel(a)stat.unibe.ch

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Fwd: PostDoc position within FOR 2402 at TU Berlin
by Mario Maurelli 23 Aug '20

23 Aug '20

---------- Forwarded message --------- Da: Sebastian Riedel <riedel(a)wias-berlin.de> Date: ven 14 ago 2020 alle ore 18:21 Subject: PostDoc position within FOR 2402 at TU Berlin To: Sebastian Riedel <riedel(a)math.tu-berlin.de> Dear colleagues, We would like to draw your attention to an open PostDoc position at Technische Universität Berlin. The position is part of the DFG research unit “Rough Paths, Stochastic Partial Differential Equations and Related Topics” (DFG Forschergruppe 2402, https://www.for2402.tu-berlin.de/v_menue/home/) More information can be found in the announcement below and under the link https://www.personalabteilung.tu-berlin.de/menue/jobs/stellenausschreibunge… (ID: 82691 II-486/20 or 82692 II-486/20). Please feel free to forward this job offer to anyone who might be interested. Best regards, Sebastian Riedel and Michael Scheutzow Within the framework FOR 2402 of the German Research Council “Rough Paths, Stochastic Partial Differential Equations and Related Topics” (DFG Forschergruppe 2402), we offer one PostDoc position. Working field: - Research within the project TP4: "Rough paths and random dynamical systems". Requirements: - successfully completed university degree (Master, Diplom or equivalent) and PhD in mathematics - very good knowledge in the fields of "Stochastic Analysis" (in particular rough paths and stochastic partial differential equations) and "Dynamical Systems" - good command of German and/or English required; willingness to learn either English or German is expected Applications received after the closing date 28/08/20 may also be considered. More information can be obtained from Dr. Sebastian Riedel ( riedel(a)math.tu-berlin.de) and Prof. Dr. Michael Scheutzow ( ms(a)math.tu-berlin.de <scheutzow(a)math.tu-berlin.de>). Dr. Sebastian Riedel Weierstraß-Institut Mohrenstraße 39 D-10117 Berlin, Germany Office: Raum 208 Phone: +49 30 20372-484 E-mail: riedel(a)wias-berlin.de Homepage: http://page.math.tu-berlin.de/~riedel/

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Seminario divulgativo su TASEP e LPP
by Enrico Scalas 21 Aug '20

21 Aug '20

Car* collegh*, tra i tanti successi recenti della probabilità vi e' l'analisi rigorosa di modelli di fisica statistica introdotti nel XX secolo. A questo proposito, Vi segnalo il seguente seminario divulgativo tenuto da Nicos Georgiou del Dipartimento di Matematica dell'Università del Sussex e disponibile su YouTube: Nicos Georgiou Queues = Traffic = Zombies https://www.youtube.com/watch?v=X6hCTdz0QVw dedicato al processo di esclusione totalmente asimmetrico (TASEP). Se conoscete persone interessate fate pure circolare questo annuncio. Cordiali saluti, Enrico Scalas

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Brazilian School of probability 2020
by Giuseppe Cannizzaro 07 Aug '20

07 Aug '20

Ricevo e inoltro First announcement : *XXIV Brazilian School of Probability* It is a pleasure to announce the XXIV EBP which will take place in the week of August 31st to September 4th. This year's school consists of two mini courses. The first course will be given by *Perla Sousi* (Cambridge) and will be about some of the most recent developments in mixing of Markov chains. The second course will be taught by *Martin Hairer* (Imperial College London) and will be about a recently discovered process, the Brownian Castle. The school will be fully online, using the platform Google Meet and can be moreover followed on the youtube channel of IMPA https://www.youtube.com/impabr. The school will take place every day starting at 9:30am Brasília local time (13:30 British Summer Time) with a talk by Perla Sousi and will be followed at 11:00am Brasília local time (15:00 British Summer Time) by a talk of Martin Hairer. More information under https://www.ime.unicamp.br/ebp2020/index.html. We would be grateful if you could advertise the school among your colleagues. With kind regards, Dirk Erhard, Milton Jara, Adriana Neumann, Christian Olivera

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RTD-A @Unisalento (SSD: 13/D4)
by Fabrizio Durante 05 Aug '20

05 Aug '20

Con preghiera di massima diffusione, segnalo la pubblicazione del bando per la copertura di n. 1 posto di RTD-A (SSD: SECS-S/06) presso il Dipartimento di Scienze dell’Economia dell'Università del Salento. L’attività di ricerca verte sullo sviluppo di metodi e strumenti matematici, ivi incluse le tecniche di calcolo e di elaborazione dei dati, per la costruzione di modelli matematici stocastici per l’analisi e il controllo ottimo di problemi relativi all’economia e alle scienze attuariali e finanziarie, con particolare attenzione alla loro applicabilità a “l'analisi dei mercati, dell'efficienza energetica e del comportamento dei consumatori”. Link: https://www.unisalento.it/bandi-concorsi/-/bandi/view/65239682 Scadenza: *29 agosto 2020* Per maggiori informazioni contattare Maria Chiarolla (maria.chiarolla@unisalento) e Fabrizio Durante (fabrizio.durante(a)unisalento.it) --- Fabrizio Durante Dipartimento di Scienze dell'Economia Centro Ecotekne Pal. C S.P. 6, Lecce - Monteroni LECCE (ITALY) Phone: +39 0832 29 8672 WWW: https://sites.google.com/site/fbdurante/ --

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Ricordo di Rosa Maria Mininni
by Nicola Cufaro Petroni 03 Aug '20

03 Aug '20

Care colleghe, cari colleghi, Venerdì 31 Luglio è venuta a mancare prematuramente la nostra collega Rosa Maria Mininni. Vogliamo ricordare Rosella per il suo impegno didattico costante e per la passione nel seguire i suoi giovani allievi. Il suo continuo interesse verso la ricerca l'ha portata ad occuparsi dei processi aleatori sia da un punto di vista teorico che applicativo, intessendo a tale riguardo fruttuosi legami con l'industria che hanno rafforzato l'identità dell'Università di Bari nel territorio. La sua visione del sapere e del ruolo dell'accademia l'ha spinta ad impegnarsi negli anni negli organi collegiali di ateneo e dipartimentali, facendosi apprezzare per la sua preparazione e per le sue doti umane e organizzative. Purtroppo non sempre ha ottenuto quanto meritato, e la malattia non le ha permesso di raggiungere traguardi ormai prossimi. Rosella lascia a noi colleghi di Dipartimento e a tutta la comunità italiana di Probabilità e Statistica Matematica un patrimonio di idee e azioni di cui fare tesoro. Yun Gang Lu, Nicola Cufaro Petroni, Marcello De Giosa, Vitonofrio Crismale, Stefano Rossi. -- ======================================================= Prof. Nicola Cufaro Petroni ------------------------------------------------------- Dipartimento di Matematica dell'Università di Bari, and INFN Sezione di Bari via E. Orabona 4, 70125 Bari (Italy) Tel ++39 080 5443212/5232289; Cell ++39 338 7408287 Emailcufaro(a)ba.infn.it http://www.ba.infn.it/~cufaro/homepage.html ------------------------------------------------------- "Ὁ βίος βραχὺς, ἡ δὲ τέχνη μακρὴ, ὁ δὲ καιρὸς ὀξὺς, ἡ δὲ πεῖρα σφαλερὴ, ἡ δὲ κρίσις χαλεπή" Ἱπποκράτης ὁ Κῷος, Ἀφορισμοί I.1 =======================================================

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Junior research positions in machine learning at BCAM, Bilbao, Basque Country - Spain
by Gianni Pagnini 02 Aug '20

02 Aug '20

Dear Colleagues, The Basque Center for Applied Mathematics (BCAM) is offering several positions for young researchers to work on machine learning problems. This is an opportunity for MS and last year BS students to start a research career while learning very interesting topics. The offers include internships, PhD student, and research technician positions. Candidates are expected to have strong mathematical background with experience on software languages for numerical computing such as Matlab and Python. You can find below the description of the positions. Further informations are available at the links http://www.bcamath.org/en/research/internships <http://www.bcamath.org/en/research/internships> and http://www.bcamath.org/en/research/job <http://www.bcamath.org/en/research/job> I appreciate if you can distribute the announcement to potential candidates. Thank you very much. Regards, Gianni ——————————————————————————————————————————— PhD Fellowship Research topic title: Supervised learning for COVID-19 prognosis The PhD Student will work on the research project “Early prognosis of COVID-19 infections via machine learning” funded by AXA Research Fund. The researcher will develop techniques for supervised classification based on minimax approaches and apply such techniques to predict the future severity of COVID-19 infections using medical health records. Keywords: supervised learning, supervised classification, statistics, probability, optimization, linear algebra ——————————————————————————————————————————— Internship 1 Research topic title: Multidimensional supervised regression with applications in Physics Most of machine learning methods developed for supervised regression assume the output is a scalar. In numerous applications, the output of interest is a multidimensional quantiy. For instance, in Physics, outputs of interest are usually tensors. This project will develop and implement techniques for multidimensional regression utilizing kernel methods. In addition, the techniques developed will be tested using datasets obtained in numerical Physics. Keywords: machine learning, statistics, reproducing kernel Hilbert spaces, Matlab/Python ——————————————————————————————————————————— Internship 2: Research topic title: Machine learning for very short-term load forecasting Conventional techniques for load forecasting predict energy consumptions for next several hours while multiple energy management tasks require predictions for next minutes. This project will develop and implement machine learning techniques for very short-term load forecasting that provide predictions for next minutes. In addition, such techniques will be based on probabilistic online learning that provides uncertainty assessments and adapts to patterns’ changes Keywords: machine learning, statistics, load forecasting, Matlab/Python ——————————————————————————————————————————— Internship 3: Research topic title: Minimax supervised classification under covariate shift Supervised classification can be approached as a zero sum game between learner and nature. In the standard scenario examples at training are similar to those at prediction while in practical scenarios the example types change. This project will develop supervised classification techniques based on game theory for scenarios where examples are affected by covariate shift. Keywords: machine learning, statistics, optimization, Matlab/Python ——————————————————————————————————————————— Internship 4: Research topic title: Machine learning techniques for emerging 5G networks Methods developed in machine learning and artificial intelligence fields are currently being used in multiple engineering tasks. One such applications is communication networks and specifically 5G networks. This project will develop machine learning techniques that utilize data obtained in a 5G network to obtain predictors of variables such as quality of service based on controlled features for the management of 5G networks. Keywords: machine learning, statistics, data science, Matlab/Python ================================================================ — 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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