Random January 2021

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Minicourse on Reinforcement Learning - Università di Trento
by Luigi Amedeo Bianchi 08 Jan '21

08 Jan '21

[English version below] Il Dipartimento di Matematica dell'Università di Trento organizza all'interno del corso di laurea magistrale in Matematica, percorso Matematica per la Data Science, il crash course Reinforcement Learning: the way machines learn tenuto dal Prof. Maurizio Parton (Università di Chieti-Pescara), nei giorni 27, 29 gennaio e 3, 5 febbraio 2021. Il corso sarà in remoto e in lingua inglese. La partecipazione è gratuita, ma è necessaria la registrazione, mandando un'email a luigiamedeo.bianchi(a)unitn.it Il numero di posti disponibili per partecipanti esterni è limitato. Ulteriori informazioni alla pagina http://datascience.maths.unitn.it/events/rl2021/ The Department of Mathematics at the University of Trento organises within the Master's program in Mathematics, track Mathematics for Data Science, the crash course Reinforcement Learning: the way machines learn held by Prof. Maurizio Parton (University of Chieti-Pescara), on Jan. 27 and 29, and Feb. 3 and 5, 2021. The course will take place online and will be given in English. Participation is free of charge, but registration is required. To register, send an email to luigiamedeo.bianchi(a)unitn.it The number of places available for external participants is limited. Abstract: Reinforcement Learning (RL) is a machine learning technique where an agent learns to solve a decision problem by performing actions and assessing their results. RL has been acknowledged as a breakthrough technology by MIT in 2017. We will study the fundamentals of RL and will sketch the latest methods used to solve a variety of complex tasks, from gaming to computer science, finance, and robotics. This is a 12h crash course intended for students with a background in probability. The course is comprised of theory, applications and assignments. Some experience with Python may prove useful to fully profit from the exercises and assignments. Further information available on the following webpage: http://datascience.maths.unitn.it/events/rl2021/

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Reinforcement Learning challenge (Turing Institute, Jan 18-25)
by Alessandro Zocca 07 Jan '21

07 Jan '21

Ricevo e inoltro, si noti che la scadenza è domani. ------------------------------------------- Would you like to gain hands-on experience of Reinforcement Learning? Take part in testing RangL, a brand new open-source competition platform to accelerate progress in data-driven control problems, especially in the context of energy and transportation systems. Reinforcement Learning challenge 18-25 Jan 2021 The Alan Turing Institute • Free entry • Individuals and teams (two or more people) can apply • Three levels of difficulty available • All successful invitees supported with ‘Ask away!’ channel on Slack • Certificate of participation included Contact: rangl(a)turing.ac.uk before 8 January 2021. Participation is by invitation only so early application is advised. Check out the project web page at https://www.turing.ac.uk/research/research-projects/ai-control-problems ================================= Alessandro Zocca (he/his) Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://sites.google.com/site/zoccaale/

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CANSSI Distinguished Postdoctoral Fellowship (CDPF) Call for Candidates
by Giovanni Puccetti 07 Jan '21

07 Jan '21

Two CDPF scholarships are available for candidates interested in copula modeling. Mixed High-Dimensional Copulas for Multivariate Time Series in Public Health Supervisor: Bruno Rémillard, HEC Montréal Co-Supervisor: Bouchra Nasri, Université de Montréal Applications of Long-Memory Models and Copulas to the Reconstruction of Millennial Streamflow Levels Supervisor: Rafal Kulik, University of Ottawa Co-Supervisor: Bruno Rémillard, HEC Montréal The details are given in the following website: http://www.canssi.ca/research-and-training-opportunities/canssi-postdoctora… <http://www.canssi.ca/research-and-training-opportunities/canssi-postdoctora…> where other different projects can be found. Applications are due by January 19, 2021.

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Padova Online Seminar by Giacomo Di Gesù (Università di Pisa) [Friday, Jan. 15 at 14.30]
by alessandra bianchi 07 Jan '21

07 Jan '21

Dear Colleagues, We would like to invite you to the following Probability seminar that will take place on January 15 at 14.30 by the zoom platform. ________________________________________________________ Speaker: Giacomo Di Gesù (Università di Pisa) Title: Metastability for an SPDE via functional inequalities 15 JANUARY (Friday) - 14:30 zoom link: TBA (available on the webpage https://www.math.unipd.it/~bianchi/seminari/ ) Abstract: We consider a small perturbation by space-time Gaussian white noise of the Allen-Cahn equation. The latter is a nonlinear PDE, which can be seen as a gradient flow with respect to a double-well potential. The perturbed stochastic evolution is then a paradigmatic model exhibiting metastable dynamics: before exploring the full state space and reaching equilibrium, the system remains localized at the bottom of one well for a very long time. In the talk I will present a general approach to get metastability estimates in this infinite-dimensional setting. The focus is on sharp estimates that go beyond rough large deviation asymptotics and that are crucial for deriving coarse-grained effective dynamics. A key ingredient of the method is the systematic use of log-Sobolev inequalities in order to lift tunnelling calculations to infinite dimensions. As a main application we show how to compute the leading asymptotic behavior of the exponentially small spectral gap. We obtain an explicit formula expressed in terms of a certain Fredhom determinant as prefactor. This result shows that the gap behaves like the inverse of the average tunnelling time between wells and provides an alternative, spectral-theoretic way to prove the Eyring-Kramers formula. Based on joint work with Morris Brooks (IST Austria). -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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Fwd: Vacancies in Leiden: 15 PhDs and postdocs in Mathematics, deadline January 31, 2021
by Faggionato, Alessandra 05 Jan '21

05 Jan '21

Ricevo da Luca Avena (Leiden) e con piacere inoltro Saluti Alessandra ---------- Forwarded message --------- Da: Avena, L. <l.avena(a)math.leidenuniv.nl> Date: mar 5 gen 2021 alle ore 14:00 Subject: Vacancies in Leiden: 15 PhDs and postdocs in Mathematics, deadline January 31, 2021 Dear friends and colleagues, The very best wishes for a better 2021 to all of you! I would like to ask you to advertise within your network of potentially interested colleagues and students, 15 open vacancies for PhDs and Postdocs at our Math department in Leiden with deadline end of January. The application description can be found at this link: https://www.universiteitleiden.nl/en/vacancies/2020/q4/20-572-phd-candidate… Thanks for the attention and see you hopefully soon. Sincerely, Luca -- ************************************************* 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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Assegno biennale presso il Dipartimento di Matematica, La Sapienza, Roma
by Faggionato, Alessandra 05 Jan '21

05 Jan '21

Buongiorno, in merito all'assegno di ricerca biennale con bando https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf <https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf> presso il Dipartimento di Matematica - La Sapienza (già pubblicizzato in questa mailing list), vi mando dei dati aggiuntivi in Inglese a supporto di potenziali candidati stranieri. Saluti Alessandra - Position: Assegno di Ricerca, *which is the equivalent of a post-doc position*. - Degree required at the moment of application: PhD. - Institution: Dipartimento di Matematica “Guido Castelnuovo”, SAPIENZA Università di Roma (https://www.mat.uniroma1.it/). - Field: Mathematics and its applications. - Duration: 2 years. - Estimated gross salary: 22.600 EUR per year (which corresponds to a net wage of about 1650 EUR per month). - Teaching load: no teaching duties. - Expected starting: Summer/Autumn 2021. Here is the link for the official call (unfortunately in Italian only): https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf Applications shall be sent by registered letter, attested by an acknowledgment of receipt, or *by PEC*, the *deadline being January 20th, 2021* (the postmark serving as proof). For those of you who cannot speak/understand Italian, further information and/or assistance with the application process can be found at the URL https://sites.google.com/uniroma1.it/istruzioni-inglese-bando8-2020/guideto… The above link will also appear soon on the webpage of the Department of Mathematics. -- ************************************************* 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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Tenure Track position in Statistics at the Mathematical Institutes, Leiden University
by Anna Maria Paganoni 04 Jan '21

04 Jan '21

Dear colleagues, applications are invited for assistant professor (Tenure Track) position in Statistics at the Mathematical Institutes, Leiden University. We are looking for candidates with a strong background in Mathematical Statistics/Statistics or Probability and interest in statistical methodology and/or applications. More details about the application procedure can be found at https://www.universiteitleiden.nl/en/vacancies/2020/q4/20-573-assistant-pro… Closing date 15-th January For information please contact Marta Fiocco m.fiocco(a)math.leidenuniv.nl Anna Maria Paganoni MOX - Modeling and Scientific Computing Dipartimento di Matematica "F. Brioschi" Politecnico di Milano Piazza Leonardo da Vinci, 32 I-20133 Milano - Italy tel. +39 02 2399 4574 fax. +39 02 2399 4568 e.mail: anna.paganoni(a)polimi.it

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