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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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10 PhD positions at HetSys Warwick - deadline Jan 25 2023
by Massimiliano Tamborrino 14 Dec '22

14 Dec '22

Dear all, the HetSys Centre for Doctoral Training<https://warwick.ac.uk/fac/sci/hetsys> at Warwick is opening 10 fully funded PhD positions for a start in October 2023, with deadline for applying on the 25th January 2023 (more details are reported below). Among other projects, I'm supervising, together with Tim Sullivan, a project on "Probabilistic learning for time-parallel solvers of complex models", see https://warwick.ac.uk/fac/sci/hetsys/themes/continuum/hp2023-04/ The project is suitable for anyone with a background in mathematics, statistics, or computer science. It will involve both programming and theoretical analysis, although the exact balance can be tuned to the interests and skills of the successful candidate. Please get in touch if you are interested and pass the message to potentially interested candidates. Best, Massi ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino --------- 10 Fully Funded PhD Positions within HetSys Centre for Doctoral Training at Warwick for October 2023 start HetSys<https://warwick.ac.uk/fac/sci/hetsys> is an EPSRC-supported Centre for Doctoral Training (CDT) which trains people to challenge current state-of-the-art in computational modelling of heterogeneous, real-world systems across a range of research themes spanning quantum<https://warwick.ac.uk/fac/sci/hetsys/themes/quantum/availableprojects/>, atomistic<https://warwick.ac.uk/fac/sci/hetsys/themes/atomistic/availableprojects/> and continuum<https://warwick.ac.uk/fac/sci/hetsys/themes/continuum/availableprojects/> models of materials and molecules. The HetSys team are now recruiting our fifth cohort of enthusiastic students from across the physical sciences who enjoy using their mathematical skills and thinking flexibly to solve complex problems to join our EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems at the University of Warwick, UK. Our exciting range of new PhD projects<https://warwick.ac.uk/fac/sci/hetsys/themes/projectopportunities/> for Oct 2023 can be found on our webpage<https://warwick.ac.uk/fac/sci/hetsys/>. HetSys is built around a closely knit, highly collaborative team of academics from science departments across Warwick (this year including Physics, Engineering, Chemistry, Life Sciences, Mathematics, Statistics and the Warwick Manufacturing Group) at Warwick. With its project partners HetSys is developing talented, energetic PhD students to push boundaries in this exciting field. The students will inspire new ideas, approaches and innovation and become future leaders in developing new technologies. Full funding is available for 10 candidates, including those who meet the required UK residency criteria plus a small number of international students. We require at least a 2(i) honours degree at BSc or an integrated masters degree (e.g. MPhys, MChem, MSci, MEng etc.) in a physical sciences, mathematics or engineering discipline. The studentships pay a stipend to cover maintenance as well as paying the university fees and research training support. The stipend is at the standard UKRI rate (for 2022/23 that is £17,668 per annum) The first-round deadline for all applicants is 25 January 2023. Interviews will be held shortly after this closing date. Please pass this message on to potentially interested candidates. For more details of the HetSys training programme and our current PhD Projects see the HetSys webpage at https://warwick.ac.uk/hetsys or contact us by email at hetsys(a)warwick.ac.uk<mailto:hetsys@warwick.ac.uk>.

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Seminar by A. Awerkin in Padova (Friday 16.12.2022)
by Giorgia Callegaro 13 Dec '22

13 Dec '22

Dear all, you're invited to the next seminar in Probability and Finance, that will take place on Friday 16th December, at 15.30, in hybrid mode at the Mathematics Department of the University of Padova. More details: * *Speaker*: *Almendra Awerkin* (Università di Brescia) * *Date and time*: 16th December 2022, 3.30 pm * *Room (Torre Archimede)*: room 702 * *Zoom link*: please find it at https://www.math.unipd.it/~bianchi/seminari/ * *Title*: *Optimal investment and fair sharing rules of the incentives for renewable energy communities * * *Abstract*: In order to face climate and energy objectives, as reduction of GHG emission and energy independency, countries start to promote sustainable energy plans. In the research for solutions to achieve such goals, Renewable Energy Communities (REC) start to play an important role. A REC is defined as a cooperative, non-profit organization of final customers, which can involve different stakeholders, such as municipalities, local societies, public and private companies, with the purpose of self-producing and self-consuming energy from renewable sources. Recently, the Italian government introduced an incentive tariff for REC. The special feature of this tariff is that it rewards the shared energy from the installation of new renewable sources. Shared energy is defined as the demand of the community which is satisfied by the self-production of energy. In this context, two relevant problems have to be solved: the optimal investment in new technologies and a fair division of the incentive among the community members. In this talk we address this problem by modeling an energy community as a static leader follower problem, where the leader, which can be understood as the administrator or coordinator of the REC, decides the percentage of the incentive that correspond to each member of the community, while the followers, represented by the members of the community, decide how much initially invest in new renewable energy production. We identified the optimal division of the incentive (leader) with a Nash bargaining solution. Additionally, we supposed a competitive game between the community members (followers) and we identified the initial optimal investment solution with a Nash equilibrium. We finish the talk by presenting some extension of our model, partial results and work in progress related to the optimal investment and management of energy communities. See you soon, thanks, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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