February 2025 - Random - Mailing list — Dipartimento di Matematica, UniPI

PhD project in Statistical learning methods for functional data
by Marzia Angela Cremona 07 Feb '25

07 Feb '25

Dear all, I have an open PhD position in my group at Université Laval (Quebec CIty, Canada) on the topic "Statistical learning methods for functional data". Requirements and Conditions - Background in statistics, machine learning, data science, or similar - Programming experience (R, Python, Matlab or similar) - Advanced level of English - Intermediate level of French (or willingness to reach an intermediate level before the beginning of the PhD program) Funding: at least 25 000 CAD/year for 4 years (including admission and success support scholarships from the Faculty, as well as supervisor scholarships). Additional funding is available from the Faculty (progression scholarships, funding for conference participation, scholarships for publications, etc.). This amount may be increased by scholarships obtained from external organizations (e.g. FRQ, NSERC, IID, CIRRELT) to which the student must apply. More details at https://www.projets-recherche.ulaval.ca/en/project?id=473373 If interested, please send a cover letter, CV and all student transcript to marzia.cremona(a)fsa.ulaval.ca<mailto:marzia.cremona@fsa.ulaval.ca> Marzia Marzia A Cremona Department of Operations and Decision Systems Université Laval https://marziacremona.com<https://marziacremona.com/> Pavillon Palasis-Prince, local 2449 2325, rue de la Terrasse Québec (Québec) G1V 0A6

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Seminars in Statistics at Collegio Carlo Alberto - Yufei ZHANG (IMPERIAL COLLEGE LONDON)
by Matteo Giordano 07 Feb '25

07 Feb '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 14/02/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Yufei ZHANG (IMPERIAL COLLEGE LONDON) Title: Towards sample-efficient continuous-time reinforcement learning Abstract: Recently, reinforcement learning (RL) has garnered significant research interest. However, much of this attention and success has been focused on the discrete-time setting. RL for continuous-time systems, despite its natural applicability to a wide range of control tasks in physical systems, remains largely unexplored with limited progress. In particular, characterizing the sample efficiency of continuous-time RL algorithms continues to be a challenging and open problem. In this talk, we introduce a principled framework for systematically analyzing regret bounds for continuous-time RL algorithms in episodic model-based settings. Our framework decomposes the regret analysis into two fundamental components: the finite-sample accuracy of model estimation and the performance gap of a greedy policy derived from the estimated models. The finite-sample accuracy is analyzed using filtering theory and concentration inequalities for correlated observations, while the performance gap is quantified by leveraging the robustness of the control problem. By integrating these insights, we optimize the exploration-exploitation trade-off, achieving the best-known sample complexity in the current literature. ------------------------------------------------ Sarà possibile il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 12/02/2025* a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it>. Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Giordano Assistant Professor (RTDA) Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>

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6yrs Tenure-Track Assistant Professor in Statistics at University of Milan
by Luca Rossini 06 Feb '25

06 Feb '25

Luca Rossini <luca.rossini87(a)gmail.com> gio 27 giu 2024, 16:14 a random Dears, We are hiring a *tenure-track assistant professor (RTT) in Statistics (SECS-S/01)* at the University of Milan. The candidate should hold a Ph.D. degree in Statistics, Econometrics, or Economics or equivalent, from an Italian or foreign university. Here is the link to the detailed description of the procedure: https://www.unimi.it/en/node/51695 (*Deadline 03 March 2025*). The baseline gross salary is approximately 44.000€ per annum for 6 years. Tenure as an Associate Professor will be granted subject to holding the Italian National Qualification as an Associate Professor. Teaching load: 60 hours per year before tenure. Important tax reductions may apply for 5 or more years according to the Italian rules for candidates who have resided abroad for the last 2 years. The Department of Economics, Management, and Quantitative Methods was selected for a second consecutive five-year period (2023-2027) as one of the "Departments of Excellence" (Dip di Eccellenza) by the Italian Ministry of University and Research (MIUR). Best regards

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15 PhD positions at Maths dept in Gothenburg, Sweden
by Umberto Picchini 06 Feb '25

06 Feb '25

Join the the largest mathematics department in Sweden! We have openings for 15 PhD positions. * The PhD-positions are fully funded from the start * As a PhD student you are an employee and enjoy all employee benefits. Read more about working at Chalmers <https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-emplo…>and our benefits <https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-emplo…> for employees. * As a PhD student, you will be enrolled in a graduate program at the Department of Mathematical Sciences. Please, read more about our graduate program here <https://www.chalmers.se/en/departments/mv/research/doctoral-studies/>. * The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. * A dynamic and inspiring working environment in the coastal city of Gothenburg. Gothenburg <https://www.goteborg.com/en/>. * A starting salary of ~*33,000 SEK per month* (~2,900 Euro/month) before taxes. Discover the positions at https://www.chalmers.se/en/departments/mv/research/doctoral-studies/mv-phd-… Deadline to apply: February 24. -- ____________________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , Bluesky: @upicchini.bsky.social

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Call of interest - Statistics (STAT-01/A) - Dept of Mathematics - uniTrento
by Claudio Agostinelli 06 Feb '25

06 Feb '25

The Department of Mathematics at the University of Trento is inviting expressions of interest for a new position at the level of Tenure Track Assistant Professor (RTT, ricercatore/ricercatrice a tempo determinato in tenure track) or Associate Professor (professore/professoressa associato) in Statistics (STAT-01/A). This opportunity is aimed at individuals with a strong mathematical background and an outstanding track record in mathematical statistics, particularly in emerging areas such as: Statistical Machine Learning, High Dimensional Statistics, Bayesian Nonparametrics, Functional Data Analysis. The successful candidate will be expected to teach in English mainly for the MSc program in Mathematics. Interested applicants are requested to submit their expression of interest to Veronica Vinciotti at veronica.vinciotti(a)unitn.it, including a curriculum vitae and the academic level of the position they would apply for. The department encourages applications from individuals in under-represented groups. The deadline for submissions is 10 March 2025. -- ------------------------------------------- Whatever our life will bring out today We can always have spring, even on a winter's day Undo the past by sun and light Please just take these troubles off my mind -------------------------------------------

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Due Seminari a Caserta
by Enrica Pirozzi 06 Feb '25

06 Feb '25

AVVISO DI SEMINARI   Lunedì, 10 Febbraio 2025, in aula G, il Prof. Enrico Scalas (Università La Sapienza, Roma) (15:00-15:45) e la Dott.ssa Anna Vidotto (15:45-16:30) (Università di Napoli Federico II) terranno i seguenti due seminari: Contare e classificare: un programma di ricerca per la probabilità applicata e la statistica Enrico Scalas Abstract: cfr. locandina allegata The Malliavin-Stein approach and some second-order Poincaré inequalities Anna Vidotto Abstract: cfr. locandina allegata La proponente Enrica Pirozzi Team per collegamento online: cfr. locandina allegata

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AMASES Conference in Florence - September 2025
by Giacomo Scandolo 06 Feb '25

06 Feb '25

Dear All, we are pleased to announce that the XLIX edition of the AMASES Conference will take place in Florence at the Dipartimento di Scienze per l'Economia e l'Impresa (DISEI) of the University of Florence from September 11th to September 13th 2025. As in the AMASES (Associazione per la Matematica Applicata alle Scienze Economiche e Sociali) established tradition, the purpose of the meeting is to stimulate discussion among scholars and practitioners, from Italy and all around the world, on different aspects of Mathematics applied to Economic and Social Sciences. The scientific program consists of plenary talks and presentations in parallel sessions of contributed papers on Actuarial Mathematics, Decision Theory, Dynamic Models, Financial Mathematics, Game Theory, Mathematical Economics, Numerical Methods, Optimization. The plenary speakers of this edition will be: • Christa Cuchiero (Department of Statistics and Operations Research, University of Vienna) • Christian Gollier (Toulouse School of Economics, University of Toulouse) • Daniel Kuhn (College of Management of Technology, École Polytechnique Fédérale de Lausanne) • Piotr Skowron (Faculty of Mathematics, Informatics and Mechanics, University of Warsaw) Sessions will start in the late morning on September 11th and will end in the late afternoon on September 13th. The link to the conference website is: https://sites.google.com/disei.unifi.it/amases2025/home The website contains information about submissions, venue, fees and accommodation. Please note these important dates: SPECIAL SESSIONS Special session proposal deadline: March 5, 2025 Special session notification of acceptance: March 25, 2025 REGULAR SUBMISSIONS Regular submission opening: March 1, 2025 Regular submission deadline: April 30, 2025 Regular submission notification of acceptance: May 30, 2025 Early bird registration deadline: June 30, 2025 Registration deadline for communications to be included in the program: June 30, 2025 Thanks to the contribution of the Italian Mathematical Union (UMI), five young scholars will be exempt from paying the registration fees. See the conference website for the details. Looking forward to welcoming you to Florence! The Local Organizing Committee

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Seminario Raphael Huser presso Politecnico di Milano
by Laura Maria Sangalli 06 Feb '25

06 Feb '25

Si avvisa che in data 10-02-2025, alle ore 14:30 presso il Politecnico di Milano, Edificio 16B (Via Bonardi 9), in Aula 16B.0.1 (piano terra), nell’ambito delle attività del MOX, si svolgerà il seguente seminario: Raphael Huser, KAUST - King Abdullah University of Science and Technology Titolo: Neural Inference Methods for Spatial Extremes in High Dimensions Abstract: Neural Bayes estimators are neural networks that approximate Bayes estimators. They are thus likelihood-free, extremely fast to evaluate, and amenable to rapid uncertainty quantification, while also (approximately) inheriting the appealing large-sample properties of Bayes estimators. Neural Bayes estimators are therefore ideal to use with spatial extremes models observed in high dimensions, where estimation is often a computational bottleneck. In this seminar, I will summarize our research progress in that area and explain how, for any spatial model that can be simulated from, a single neural Bayes estimator can be trained to make fast inference with new data that involve varying sample sizes, varying spatial configurations of observed locations, and varying censoring levels used in peaks-over-threshold modeling. This methodology will be illustrated by application to sea surface temperature extremes over the Red Sea, and air pollution extremes over the whole Arabic peninsula. Joint work with Jordan Richards, Matthew Sainsbury-Dale, and Andrew Zammit-Mangion. This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented at the talk. Contact: alessandra.menafoglio(a)polimi.it<mailto:alessandra.menafoglio@polimi.it> Il link per seguire il seminario online sarà reso disponibile pochi minuti prima dell’avvio del seminario al seguente Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… Contatto: Prof Alessandra Menafoglio, alessandra.menafoglio(a)polimi.it<mailto:alessandra.menafoglio@polimi.it> Tutti gli interessati sono cordialmente invitati a partecipare, Cordialmente, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> https://sangalli.faculty.polimi.it

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Seminario Raphael Huser presso Politecnico di Milano
by Alessandra Menafoglio 06 Feb '25

06 Feb '25

Si avvisa che in data 10-02-2025, alle ore 14:30 presso il Politecnico di Milano, Edificio 16B (Via Bonardi 9), in Aula 16B.0.1 (piano terra), nell’ambito delle attività del MOX, si svolgerà il seguente seminario: Raphael Huser, KAUST - King Abdullah University of Science and Technology Titolo: Neural Inference Methods for Spatial Extremes in High Dimensions Abstract: Neural Bayes estimators are neural networks that approximate Bayes estimators. They are thus likelihood-free, extremely fast to evaluate, and amenable to rapid uncertainty quantification, while also (approximately) inheriting the appealing large-sample properties of Bayes estimators. Neural Bayes estimators are therefore ideal to use with spatial extremes models observed in high dimensions, where estimation is often a computational bottleneck. In this seminar, I will summarize our research progress in that area and explain how, for any spatial model that can be simulated from, a single neural Bayes estimator can be trained to make fast inference with new data that involve varying sample sizes, varying spatial configurations of observed locations, and varying censoring levels used in peaks-over-threshold modeling. This methodology will be illustrated by application to sea surface temperature extremes over the Red Sea, and air pollution extremes over the whole Arabic peninsula. Joint work with Jordan Richards, Matthew Sainsbury-Dale, and Andrew Zammit-Mangion. This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented at the talk. Contact: alessandra.menafoglio(a)polimi.it <mailto:alessandra.menafoglio@polimi.it> Il link per seguire il seminario online sarà reso disponibile pochi minuti prima dell’avvio del seminario al seguente Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… <https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2…> Contatto: Prof Alessandra Menafoglio, alessandra.menafoglio(a)polimi.it <mailto:alessandra.menafoglio@polimi.it> Tutti gli interessati sono cordialmente invitati a partecipare, Alessandra Menafoglio — Alessandra Menafoglio MOX - Dept. of Mathematics Politecnico di Milano Piazza Leonardo da Vinci, 32, 20133 Milan - Italy Phone: +39 02 2399 4642 Email: alessandra.menafoglio(a)polimi.it

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Seminario Benedetta Ferrario - Politecnico di Milano - 13 Febbraio 2025
by Luca Scarpa 05 Feb '25

05 Feb '25

Si segnala il seguente seminario a tutti gli interessati. Giovedì 13 Febbraio 2025, ore 11:00. Aula Seminari MOX VI Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Benedetta Ferrario, Università di Pavia. Title: Soluzioni statistiche stazionarie per un'equazione di Schrödinger non lineare. Abstract: Per un'equazione deterministica di Schrödinger si mostra l'esistenza di soluzioni statistiche stazionarie ottenute come opportuno limite della soluzione della corrispondente EDP perturbata con una forzante stocastica e una dissipazione lineare. Inoltre si analizzano le proprietà di questi processi stazionari. Link Zoom: <https://polimi-it.zoom.us/j/98450130271?pwd=UzCbsGrdAEilFEwl0RQvvZ0921Z3Ba.1> Join our Cloud HD Video Meeting<https://polimi-it.zoom.us/j/98450130271?pwd=UzCbsGrdAEilFEwl0RQvvZ0921Z3Ba.1> polimi-it.zoom.us<https://polimi-it.zoom.us/j/98450130271?pwd=UzCbsGrdAEilFEwl0RQvvZ0921Z3Ba.1> [zoom.ico]<https://polimi-it.zoom.us/j/98450130271?pwd=UzCbsGrdAEilFEwl0RQvvZ0921Z3Ba.1> Link Seminario Polimi: <https://www.mate.polimi.it/Eventi/?id=2539&sezione_di_ricerca=&stringa=&sub…> Eventi Dipartimento di Matematica - Politecnico di Milano<https://www.mate.polimi.it/Eventi/?id=2539&sezione_di_ricerca=&stringa=&sub…> mate.polimi.it<https://www.mate.polimi.it/Eventi/?id=2539&sezione_di_ricerca=&stringa=&sub…> [apple-touch-icon.png]<https://www.mate.polimi.it/Eventi/?id=2539&sezione_di_ricerca=&stringa=&sub…> ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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