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Summers school and conference "Processes and heat kernel with symmetries"
by Alessandra Occelli 20 Dec '22

20 Dec '22

Cari colleghi, Vi annunciamo che, nell'ambito del semestre tematico organizzato dal Centre Henri Lebesgue, una Summer School and conference dal titolo "Processes and heat kernels with symmetries" avrà luogo presso il centro congressi Bon Pasteur di Angers dal 26 al 30 giugno 2023. Il comitato scientifico è composto da Jean-Philippe Anker (Università di Orléans), Gilles Carron (Università di Nantes) e Margit Rösler (Universität Paderborn). Il comitato organizzatore è composto da Piotr Graczyk (Università di Angers), Alessandra Occelli (Università di Angers) e Patrice Sawyer (Laurentian University, Sudbury, Canada). Il programma scientifico comprende 4 mini-corsi (4 x 50 min), 8 talk (50 min) e una poster session. Si prega di consultare la pagina web https://www.lebesgue.fr/en/heat per maggiori dettagli. Il costo dell'alloggio completo (pasti inclusi) presso il residence Bon Pasteur è di 545 euro. Il comitato organizzatore potrebbe essere in grado di aiutare alcuni giovani ricercatori a coprire i costi di alloggio. Se siete interessati a partecipare alla conferenza, si prega di contattare Patrice Sawyer (psawyer(a)laurentian.ca) entro il 31 gennaio 2023. A nome del comitato organizzatore, Alessandra Occelli %%%%%%%%%%%%%%%%%%%%%%%%%%%%% Dear colleagues, We inform you that, as part of the thematic semester organized by the Center Henri Lebesgue, a Summer School and conference entitled "Processes and heat kernels with symmetries" will take place at the Bon Pasteur congress center in Angers from the 26th to the 30th of June 2023. The scientific committee is composed of Jean-Philippe Anker (University of Orléans), Gilles Carron (University of Nantes) and Margit Rösler (Universität Paderborn). The organizing committee is composed of Piotr Graczyk (University of Angers), Alessandra Occelli (University of Angers) and Patrice Sawyer (Laurentian University, Sudbury, Canada). The scientific program includes 4 mini-courses (4 x 50 min), 8 talks (50 min) and a poster session. Please consult the web page https://www.lebesgue.fr/en/heat for more details. The cost of full accommodation (meals included) at Bon Pasteur is 545 euros. The organizing committee may be able to help some young researchers with the accommodation costs. If you are interested in attending the conference, please contact Patrice Sawyer (psawyer(a)laurentian.ca) by January 31, 2023. On behalf of the organizing committee, Alessandra Occelli

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Postdoc positions
by Franco Flandoli 20 Dec '22

20 Dec '22

Dear colleagues, I am currently advertising a two-year Postdoc position under the ERC advanced grant NoisyFluid, at Scuola Normale Superiore, in Pisa. Deadline for application: January 18th 2023. The call is published at the link: https://amministrazionetrasparente.sns.it/bando/analisi-delle-grandi-scale-… Informations abount the local research group on stochastic fluids and the ERC project can be found at the page https://sites.google.com/sns.it/franco-flandoli/home-page Please contact me for any additional information concerning the project and the call, and please transfer the announcement to other potential candidates. Thanks a lot! Best wishes, Franco Flandoli

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Save the date(s): mini-course Boris Hanin in Rome
by Michele Salvi 20 Dec '22

20 Dec '22

Dear all, In order to start the year in the best possible way, RoMaDS ( https://www.mat.uniroma2.it/~rds/events.php ) will host Boris Hanin (Princeton University) at Tor Vergata from the 10th to the 13th of January 2023. Boris will give a 6 hours mini-course about Neural networks and Gaussian processes. The course will be addressed also to non-experts of the field, it will be divided in 3 slots of 2 hours each and the tentative program is as follows: Lecture 1. (Tue 10th, 14h00) Introduction to neural networks. Statement of Gaussian Process (GP) limit. Proof of GP limit. Lecture 2. (Wed 11th, 14h00) Tuning to criticality and analysis at large depth. Lecture 3. (Fri 12th, 10h00) Optimization in the GP limit using the Neural Tangent Kernel. Open problems. All the lectures will be held in Aula Dal Passo, Department of Mathematics - Tor Vergata university, and we do encourage in-person participation. Should you be unable to come, here is the link to the event on Teams: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… Best, Michele

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votazioni per il consiglio scientifico del CIME
by Marco Romito 18 Dec '22

18 Dec '22

Buonasera vi segnalo che dalle ore 9:00 di domani lunedì 19 dicembre alle ore 13:00 di Mercoledì 21 dicembre avranno luogo le elezioni per il rinnovo di cinque membri del Consiglio Scientifico della Fondazione CIME (https://sites.google.com/unifi.it/cime/). Segnalo anche che tra le candidature disponibili è presente quella del probabilista Francesco Morandin, dell'Università di Parma. Trovate la sua e le altre candidature all'indirizzo https://sites.google.com/unifi.it/cime/elezioni-2022/candidature-2022. saluti m.

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2 assistant professorships (RTD-A) mathematical physics Bologna
by giacomo.depalma＠sns.it 17 Dec '22

17 Dec '22

Dear all, The Department of Mathematics of the University of Bologna has opened two 3-year RTD-A (Assistant Professor) positions in Mathematical Physics. Within the next three years the Mathematical Physics group plans to open two tenured positions. The application procedure can be found at https://bandi.unibo.it/s/apos5/rif-7960-bando-66-posti-rtd-a-pnrr-1 English version of the call: https://bandi.unibo.it/s/apos5/rif-7960-bando-66-posti-rtd-a-pnrr-1/call-for -application/rif-7960-call-66-positions-rtd-a-pnrr-4.pdf/@@download/file/Rif .%207960%20-%20CALL%2066%20POSITIONS%20RTD%20A)%20PNRR%204.pdf The application deadline is sharp at 12:00 of 30-12-2022. We are looking for top early-career researchers in the fields of Statistical Mechanics, Quantum Information Theory or Quantum Computing. These include but are not limited to areas of complex and disordered systems, spin glasses, classical and quantum neural networks and statistical inference, both from a theoretical perspective and by looking at applications, especially to machine learning and complex networks. The two successful candidates are expected to be appointed by February 1, 2023. The teaching load is 60 hours per year. The University of Bologna is the oldest University in continuous operation in the world and renowned to be one of the best in Italy. The city of Bologna offers a broad number of cultural activities and a high quality of life. The Mathematical Physics Group is active in Statistical Mechanics and Applications (https://math.unibo.it/en/research/research-groups/statistical-mechanics-and -applications), Quantum Information Theory (https://math.unibo.it/en/research/research-groups/quantum-information-theor y), Data Science and Artificial Intelligence (https://math.unibo.it/en/research/research-groups/data-science-and-ai) and many other areas. The Department has a wide spectrum of research interests in all the fields of mathematics: https://math.unibo.it/en/research/research-areas and has close collaborations with the Departments of Physics, Computer Science, Engineering, Economics etc. Please feel free to forward this email to potential candidates. For further information you can contact me or Prof. Pierluigi Contucci (pierluigi.contucci(a)unibo.it <mailto:pierluigi.contucci@unibo.it> ) or Prof. Daniele Tantari (daniele.tantari(a)unibo.it <mailto:daniele.tantari@unibo.it> ). Best wishes, Giacomo

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Padova Seminars in Probability and Finance - Simone Floreani (University of Oxford)
by Alberto Chiarini 16 Dec '22

16 Dec '22

Dear Colleagues, We would like to invite you to the "Padova Seminars in Probability and Finance seminar" that will take place on December 21st at 11.00 in Padova in room 2AB45 at the department of Mathematics “Tullio Levi-Civita". The seminar will be held in person and online via the Zoom platform. _____________________________________________________ Speaker: Simone Floreani (University of Oxford) Title: Hydrodynamics for the partial exclusion process in random environment via stochastic duality Date and time: Wednesday, DECEMBER 21st at 11.00 Place: room 2AB45 at the Department of Mathematics, University of Padova Zoom link: https://unipd.zoom.us/j/88295505400 available also on the webpage https://www.math.unipd.it/~bianchi/seminari/ Abstract: In this talk, I present a partial exclusion process in random environment, a system of random walks where the random environment is obtained by assigning a maximal occupancy to each site of the Euclidean lattice. This maximal occupancy is allowed to randomly vary among sites, and partial exclusion occurs. After recalling some results on the Bouchaud's trap model, I will show that, when assuming that the maximal occupancies are heavy tailed and i.i.d., the hydrodynamic limit of the particle system is the fractional-kinetics equation. The strategy of the proof is based on stochastic duality, a useful tool in probability theory which allows to study a Markov process (the one that interests you) via another one, called dual process, which is hopefully simpler. In the final part of the talk, I will focus on how some duality relations can be obtained in a more general framework. With best regards, Alberto Chiarini Department of Mathematics Tullio Levi-Civita Via Trieste 63 35121 Padova Italy Alberto Chiarini

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Postdoc in Financial Mathematics at Dublin City University
by Paolo Guasoni 16 Dec '22

16 Dec '22

Dear Colleague, Dublin City University has a Postdoctoral position (Two-year) in Financial Mathematics https://www.dcu.ie/sites/default/files/inline-files/RF1781%20Postdoctoral%2… The closing date for the application is January 22nd, 2022. With best wishes of Merry Christmas and Happy New Year, Paolo Guasoni -- <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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SPASS seminar: Andrea Papini - TUE 20.12 at 14:00
by Andrea Agazzi 16 Dec '22

16 Dec '22

Dear Colleagues, We would like to invite you to the following SPASS <https://sites.google.com/unipi.it/spass> seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Turbulence Enhancement in Kinetic Coagulation Equations* by Andrea Papini (Scuola Normale Superiore di Pisa) The seminar will take place in person on *TUE, 20.12.2022 at 14:00 CET* in Aula Seminari, Department of Mathematics, University of Pisa and streamed online here <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Title: Turbulence Enhancement in Kinetic Coagulation Equations* *Abstract: A Smoluchowski type model of coagulation in a turbulent fluid is given, heuristically expressed by means of a stochastic model of a system of second-order (microscopic) coagulating particles, then in a suitable scaling limit as a deterministic model with enhanced diffusion in the velocity component. Existence, uniqueness and regularity is proven under different initial conditions in suitable weighted spaces for the spatially-homogeneous PDE. A precise link between mean intensity of the turbulent velocity field and coagulation enhancement is obtained by numerical simulations.* *Based on joint works with Franco Flandoli and Ruojun Huang.*

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Seminar by Salvatore Scognamiglio in Milano (21.12.22)
by Valeria Bignozzi 15 Dec '22

15 Dec '22

Dear all, you're invited to the seminar that will take place, in hybrid mode, at the Department of Statistics and Quantitative Methods, University of Milano-Bicocca. More details: 21st of December 2022, h 16:30, Aula seminari 4026, Building U7, 4th floor Department of Statistics and Quantitative Methods, University of Milano-Bicocca Webex Link: https://unimib.webex.com/unimib/j.php?MTID=mcd5a40a675fd6136e8c3be8a8ead4143 Join by meeting number Meeting number (access code): 2742 148 3807 Meeting password: x3765HJJdRf (93765455 from phones) Speaker: Salvatore Scognamiglio Title: ''Deep learning models for longevity risk'' Abstract: In recent decades, the mortality rates of most developed countries have been gradually declining due to improvements in public health, medical advances, lifestyle changes and government regulation. Although longevity improvement is an obvious benefit for society, it could also represent a risk for governments and insurance companies. Indeed, they could get in financial trouble if they do not adequately consider these longevity improvements for retirement planning and life insurance product pricing. The risk that future mortality and life expectancy outcomes turn out differently than expected is typically called longevity risk, and its management requires stochastic mortality projection models. We introduce a neural network (NN) to fit the Lee-Carter models and some of its extensions on multiple populations. The NN architecture is specifically designed to calibrate each individual model using all available information instead of using a population-specific subset of data as in the traditional estimation schemes. An extensive set of numerical experiments performed on all the countries of the Human Mortality Database shows the effectiveness of our approach. In particular, the resulting parameter estimates appear smooth and less sensitive to the random fluctuations often present in the mortality rates’ data, especially for low-population countries. In addition, the forecasting performance results significantly improved as well. Best regards, Valeria ********************************************** Valeria Bignozzi Professore associato di Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie Dipartimento di Statistica e Metodi Quantitativi (DiSMeQ), Università degli Studi di Milano-Bicocca, Edificio U7

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Annuncio Seminario Sapienza - Giacomo Greco
by Lorenzo Taggi 14 Dec '22

14 Dec '22

Martedì 20 Dicembre, ore 14:00, Sapienza Università di Roma, Dipartimento di Matematica, Sala di Consiglio *Speaker: *Giacomo Greco (Eindhoven University of Technology TU/e) *Titolo:* Travelling through turnpikes in the Kinetic Schrödinger Problem *Abstract:* The Schrödinger problem consists in finding the most likely evolution of a system of i.i.d. particles, conditionally on their initial and final configurations. In the last decade this problem has become more and more popular, thanks to its connections with stochastic optimal control theory and optimal transport. In this talk we are going to introduce a Schrödinger problem where the particles follow an (underdamped) Langevin dynamics (i.e. their density satisfies the kinetic Fokker-Planck equation) and where we are given only a partial observation of the initial and final configurations. Then, we will investigate the long-time behaviour of this kinetic system, proving that its most likely evolution is exactly the one that spends most of the time exponentially close to the equilibrium configuration (this property is commonly known in stochastic control theory as the turnpike property). Based on the paper Electron. J. Probab. 27: 1-32 (2022). DOI: 10.1214/22-EJP850

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