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DoCRA courses for PhD students: 4th session
by Maria Elvira Mancino 07 Oct '25

07 Oct '25

Dear all, I am pleased to share the following: the *Collegio Internazionale Ca’ Foscari (CICF) *in Venice is offering 20 fellowship to doctoral students for attending the fourth session of the *Doctoral Colloquium in Risk Analytics* https://landing.cafoscarichallengeschool.it/docra/ *Aims and scope* The Colloquium caters to Doctoral students interested in analytical (both theoretical and applied) methods for measuring, managing and mitigating risks. It is organized over four two-week sessions along one year. The risks considered range from standard economic, ﬁnancial or insurance applications, to emerging ones, such as environmental, climate and cyber risks. The approach is in-depth and multidisciplinary, with lectures, assignments and discussion of the results. Outstanding international scholars with long-standing PhD teaching and supervision experience deliver the courses. *Target* We seek *PhD students from Italian or Foreign Universities*, who remain aﬃliated with their Doctoral School. Students may apply for one session at a time, but must attend the whole session. They may get credit for the courses taken within the Colloquium. There are no participation fees; travel and accommodation are covered by the Colloquium. Up to five additional participants, including further Doctoral Students, Postdocs, Junior Faculty, or PhDs working in the industry, may be admitted at their own travel and accommodation expenses. *Content * The first session was in January 2025. The fourth one is: 4) January, 18 - 31, 2026, *Networks and Risk Propagation* *a) *Week 1: *Remco Hofstad*, Eindhoven U. of Technology, *Random Graphs and Complex Networks: Structure and Function* *b) *Week 2: *Alireza Tazbah-Salehi*, Northwestern University, *Production Networks* *Where* Polo Didattico San Basilio, Venice (Session ). Polo Didattico San Basilio <https://www.unive.it/pag/10128/> *We offer* - an outstanding Faculty of leading researchers; - work in a team with several, multidisciplinary doctoral candidates; - no tuition fees, with - free accommodation on the Camplus Santa Marta and Istituto Canossiano San Trovaso (walking distance of the San Basilio venue); - travel expenses reimbursed (up to 200 euro). Each session includes two courses. Each course is delivered over 20 hours over one week, combining frontal teaching, oﬃce hours/discussions, assignments and presentation of research by the students. *Applications* Students can apply for the* January 2026* session through the site https://landing.cafoscarichallengeschool.it/docra/ Acceptance of qualified applicants will be done on a first-in basis. *Deadline* 14th November 2025 *More Information* For more information, please visit https://landing.cafoscarichallengeschool.it/docra/ or get in touch through colloquia.cicf(a)unive.it. We’ll be happy to organize a zoom session. *DoCRA is a joint initiative of CICF (team leader), IUSS Pavia, IMT Lucca, SISSA Trieste, Scuola di Studi Superiori Carlo Urbani in Camerino, Scuola di Studi Superiori Giacomo Leopardi in Macerata, Scuola Superiore F. Rossi in Torino, Scuola Superiore Universitario Di Toppo Wassermann in Udine*

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IFCS 2026: International Federation of Classification Societies Conference - Second announcement
by Giorgia Zaccaria 07 Oct '25

07 Oct '25

Dear Colleagues, We are glad to inform you that the International Federation of Classification Societies (IFCS) Conference 2026 will take place in Milan, Italy, from July 14 to 16, 2026. The conference will be hosted by the Department of Statistics and Quantitative Methods of the University of Milano-Bicocca and the Department of Economics, Management and Quantitative Methods of the University of Milan. The conference will focus on topics including analysis of complex and non-standard data, machine learning and deep learning approaches to classification and clustering, and real-world applications across diverse scientific disciplines. More information, including key dates, is available at ifcs2026.unimib.it/ and in the flyer you can find here <https://ifcs2026.unimib.it/wp-content/uploads/sites/205/2025/09/Flyer-IFCS2…> . The Scientific Committee is composed of: Francesca Greselin (Chair), Silvia Salini (Co-chair), Krzysztof Jajuga (IFCS), Rebecca Nugent (IFCS), Mark de Rooij (IFCS), Vladamir Batagelj (SSS), Paula Brito (CLAD), Sonya Coleman (IPRCS), Rosa Crujeiras, Jean Diatta (SFC), Luca Frigau (ClaDAG), Raeesa Ganey (MDAG), Stefano A. Gattone, Aurea Granè (SEIO-AMyC), Julien Jacques, Joanna Landmesser-Rusek (SKAD), Berthold Lausen (BDSS), Angelos Markos (GSDA), Agustín Mayo-Íscar, Raffaella Piccarreta, Riccardo Rastelli, Pieter Schoonees (VOC), Luca Scrucca, Piercesare Secchi, Gialuca Sottile, Yoshikazu Terada (JCS), Cristina Tortora (CS), Tom Wilderjans (VOC), Adalbert Wilhelm (GFKL). Satellite events will include a data challenge for students and young researchers, as well as tutorials. Further information will be released soon. We look forward to welcoming you to Milan. Best regards, the Local Organizing Committee Francesca Greselin, Luca Brusa, Andrea Cappozzo, Alessandro Casa, Francesca De Battisti, Francesco Denti, Sónia Dias, Andrea Marletta, Marta Nai Ruscone, Giorgia Zaccaria, Mariangela Zenga Dr. Giorgia Zaccaria, Ph.D. Postdoctoral Research Fellow University of Milano-Bicocca Personal pages: Giorgia Zaccaria Personal page <https://giorgiazaccaria.github.io/> - Giorgia Zaccaria ResearchGate <https://www.researchgate.net/profile/Giorgia-Zaccaria> - ‪Giorgia Zaccaria‬ - ‪Google Scholar‬ <https://scholar.google.it/citations?user=svSITAkAAAAJ&hl=it>

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De Finetti seminar: Walter Schachermayer, Oct. 13, 2025
by Alessandro Doldi 06 Oct '25

06 Oct '25

On behalf of the Scientific Committee of the "B. de Finetti Risk Seminars, Milano Lectures on the Mathematical Theory of Economics and Finance”, we are glad to invite you to participate at the following Lecture on October 13, 2025 at 18:00: Walter Schachermayer, University of Vienna LOCATION Seminar Room 3-E4-SR03, Bocconi University, Milano Title: Lacunary/Hereditary Limit Theorems in Probability and Analysis Abstract: J. Komlos proved in 1967 an extremely useful theorem. For any bounded sequence (f_n) in L^1 there is a subsequence n_k and a limiting function f such that f_{n_k} converges to f almost surely in Cesaro mean. The convergence not only holds for the subsequence f_{n_k}, but also for each of its sub-subsequences. This important result may be seen as an extension of the strong law of large numbers, pertaining to arbitrarily dependent sequences of random variables. We analyze also other lacunary/hereditary versions of classical variants of the law of large numbers. Special attention will be given to the law of large numbers of Hsu-Robbins-Erdös from 1947/49. We show that it is indispensable for the proof of a lacunary/hereditary version of this theorem to use approximations by exchangeable sequences of random variables (as opposed to martingale differences). This yields the first example verifying a conjecture by D. Aldous from 1977. Scientific Committee Prof. Simone Cerreia-Voglio (Univ. Bocconi) Prof. Marco Frittelli (Univ. degli Studi di Milano) Prof. Fabio Maccheroni (Univ. Bocconi) Prof. Marco Maggis (Univ. degli Studi di Milano) Prof. Massimo Marinacci (Univ. Bocconi) Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca) *** Il tuo 5x1000 al diritto allo studio Università degli Studi di Milano CF 80012650158

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Seminario on-line PRISMA lunedì 6 ottobre 2025 - C. Franceschini & F. Sau
by Sonia Mazzucchi 06 Oct '25

06 Oct '25

Ricordiamo che oggi pomeriggio alle 16 riparte il ciclo di seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/). I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb ll prossimo appuntamento è per oggi *lunedì 6 ottobre* 2025. I relatori saranno *Chiara Franceschini* (Università di Modena e Reggio Emilia) e *Federico Sau* (Università di Milano Statale) che parleranno di: *Sistemi interagenti del non-equilibrio: dualità e gap spettrali* con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://unitn.zoom.us/j/83547578084 ID riunione: 835 4757 8084 Codice d’accesso: 873866 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Chiara Franceschini (Università di Modena e Reggio Emilia) e Federico Sau (Università di Milano Statale) TITOLO: Sistemi interagenti del non-equilibrio: dualità e gap spettrali RIASSUNTO: In questo seminario verranno presentati alcuni modelli di sistemi interagenti con spin sia discreti che continui. Tra gli esempi principali figurano il modello di Kipnis-Marchioro-Presutti (1982) e il processo armonico recentemente introdotto. Quando questi modelli sono studiati su un reticolo unidimensionale in contatto con reservoir ai bordi, costituiscono un setting classico per l’analisi di fenomeni tipici della meccanica statistica fuori dall’equilibrio. Tutti i modelli considerati sono associati alla Lie algebra su(1,1) e condividono diverse caratteristiche strutturali, tra cui la proprietà di dualità. Nella prima parte del seminario introdurremo il concetto di dualità per i processi di Markov, illustrando come esso consenta di derivare limiti di scala macroscopici (come l’equazione idrodinamica e i principi di grandi deviazioni) e ottenere informazioni sulla misura stazionaria fuori dall’equilibrio, esplicitamente nota solo per alcuni casi specifici. Nella seconda parte prenderemo in esame modelli definiti anche su grafi arbitrari, focalizzandoci sullo studio del gap spettrale e sulla convergenza all’equilibrio.

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Seminar Federico Bassetti at Tor Vergata (Department of Mathematics) October 6, at 14h00
by Claudio Macci 03 Oct '25

03 Oct '25

Dear all, On Monday, October 6, at 14h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Federico Bassetti (Politecnico di Milano) with the seminar "Scaling Limits of Bayesian Neural Networks: Gaussian Processes and Mixtures” Abstract: In large neural networks, key theoretical insights emerge in the infinite-width limit, where the number of neurons per layer grows while depth stays fixed. In this regime, networks with Gaussian-initialized weights define a mixture of Gaussian processes with random covariance, which converges in the infinite-width limit to a pure Gaussian process with deterministic covariance. However, this Gaussian limit sacrifices descriptive power, as it lacks the ability to learn dependent features and produce output correlations that reflect observed labels. Motivated by these limitations, we explore deep linear networks in the proportional limit, where both depth and width diverge at a fixed ratio. In this setting, the network converges to a nontrivial Gaussian mixture, both at the prior and posterior level. This structure allows the network to capture dependencies in the outputs—an ability lost in the infinite-width limit but retained in finite networks. Our contribution extends previous works by explicitly characterizing, for linear activation functions, the limiting distribution as a nontrivial mixture of Gaussians. The talk is based on F. Bassetti, L. Ladelli, P. Rotondo. Proportional infinite-width infinite-depth limit for deep linear neural networks (2024+) https://arxiv.org/abs/2411.15267 Bassetti,F. Gherardi, M. Ingrosso, A. Pastore, M. Rotondo, P. Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers. Journal of Machine Learning Research 26 (2025) 1-35. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/message/19:rfsL73KX-fw86y1YnXq2nk5VnZFwPU-iIP… The seminar is part of the Excellence Project MatMod@TOV.

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Bando di concorso Tecnologo - Università di Padova Dipartimento di Scienze Statistiche - scadenza 29.10.2025
by Livia Mian 03 Oct '25

03 Oct '25

Gentilissimi/e, Il Dipartimento di Scienze Statistiche dell'Università di Padova ha indetto una selezione per esami al fine di reperire 1 Tecnologo di Ricerca di primo livello (categoria stipendiale pari a EP1) da assumere mediante contratto di lavoro a termine, a tempo pieno, per 24 mesi. Il Tecnologo fornirà supporto tecnico al team di ricerca impegnato nel progetto "*SPECOLA – Spatial Transcriptomics through the Lenses of Statistical Modeling and AI*" finanziato dallo European Research Council (ERC) e sarà chiamato a svolgere le seguenti attività: - installazione, configurazione e manutenzione dei software necessari all’analisi di dati biologici, quali ad esempio sequenze genomiche o immagini di microscopia, nei server ad alte prestazioni (HPC); - sviluppo, test e manutenzione di script e pacchetti software open-source per l’analisi di dati biologici, inclusa la produzione di binari e container; - monitoraggio dell’utilizzo delle risorse informatiche, garantendo le opportune misure di sicurezza e di prevenzione della perdita di dati; - collaborazione con il team di sviluppatori principali del progetto Bioconductor per la revisione, distribuzione, aggiornamento e manutenzione del software; - contribuzione alla redazione di documentazione tecnica e alla scrittura di report e articoli scientifici che descrivano i risultati ottenuti. Per i dettagli sui requisiti richiesti e le modalità di selezione si rinvia al bando: https://www.unipd.it/selezione-2025s48 La scadenza è fissata al *29 ottobre 2025 alle ore 14:00.* Cordiali saluti, Il Dipartimento di Scienze Statistiche **** Dear all, The Department of Statistical Sciences at the University of Padua has launched the selection process to recruit a Research Technologist (salary category EP1) with a full-time employment contract for 24 months. The candidate will provide technical support to the research team involved in the project "*SPECOLA – Spatial Transcriptomics through the Lenses of Statistical Modeling and AI*" and will be responsible for the following tasks: - Installation, configuration, and maintenance of the software necessary for the analysis of biological data, such as genomic sequences or microscopy images, on high-performance computing (HPC) servers; - Development, testing, and maintenance of open-source scripts and software packages for biological data analysis, including the production of binaries and containers; - Monitoring the use of computing resources, ensuring appropriate security measures and data loss prevention; - Collaboration with the core development team of the Bioconductor project for the review, distribution, update, and maintenance of software; - Contribution to the drafting of technical documentation and to the writing of reports and scientific articles describing the results achieved For more details on the requirements and selection process please check the call: https://www.unipd.it/selezione-2025s48 Application deadline *October 29, 2025, 14:00 CET. * Kind regards, The Department of Statistical Sciences --- Ufficio Ricerca Dipartimento di Scienze Statistiche Università degli Studi di Padova Tel. +39 049 827 4118

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First announcement: INdAM Workshop - Probability Models in Mathematical Physics (PMMP) - Rome, 15-19 June
by Elia Bisi 02 Oct '25

02 Oct '25

Dear colleagues, We would like to send you a first announcement of the INdAM Workshop Probability Models in Mathematical Physics (PMMP) - integrability, asymptotics, and universality Rome, 15-19 June 2026 The workshop has a broad scope from random matrices, integrable systems, operator and spectral theory, semiclassical analysis, combinatorics, including applications to quantum mechanics, disordered systems and related areas, all encompassed under the triple keyword 'integrability, asymptotics, and universality'. The invited speakers are: • Elena Agliari (Rome) • Luca Avena (Florence) • Marton Balazs (Bristol) • Sung-Soo Byun* (Seoul) • Elisabetta Candellero (Rome) • Tom Claeys (Louvain-La-Neuve) • Nilanjana Datta* (Cambridge) • Nina Gantert (Munich) • Cristian Giardinà (Modena and Reggio Emilia) • Alessandro Giuliani* (Rome) • Silvia Pappalardi* (Cologne) • Thierry Paul* (Paris) • Claude-Alain Pillet* (Toulon) • Valentina Ros (Paris) • Gregory Schehr (Paris) • Roland Speicher* (Saarbrücken) • Dario Trevisan (Pisa) • Karol Zyczkowski (Krakow) * To be confirmed Further information is available on the website: https://sites.google.com/view/pmmp2026 . Registration is free but mandatory through the web form at https://sites.google.com/view/pmmp2026/registration . Applicants can contribute a short talk or a poster. Some financial support to a limited number of young participants will be available. Applications can be submitted until January 31st, 2026, and will be reviewed in February 2026. Please note that the venue has a maximum capacity. For enquiry please contact us at pmmp2026rome(a)gmail.com . Best regards, Elia Bisi Fabio Deelan Cunden Giovanni Gramegna Marilena Ligabò ————————— Elia Bisi Assistant Professor (RTT) University of Florence Department of Mathematics & Computer Science Personal homepage Florence Probability group

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junior reserach chair - postdoctorat - Paris
by CRISTINA TONINELLI 01 Oct '25

01 Oct '25

Cari tutti, trovate qui sotto l’annuncio per un posto molto attrattivo (per salario, durata ed ambiente scientifico) bandito presso l’Università di Parigi PSL. Non esitate a diffonderlo e a segnalarlo ai vostri studenti più brillanti! Grazie, Cristina ------------------------------- 3-year Junior Research chairs, Statistical Physics and Mathematics, Paris Sciences et Lettres University PSL university is awarding two Junior Research Chairs (three-year positions) as part of its research programme 'Statistical Physics and Mathematics'. This programme gathers physicists and mathematicians from three departments: CEREMADE at University Paris Dauphine – PSL, Department of Mathematics and Applications at Ecole normale supérieure – PSL, LPENS at Ecole normale supérieure – PSL. Further details about the positions and the application procedure can be found here : https://academicjobsonline.org/ajo/jobs/30482 --------------------------------------------------------------------------------------------- Cristina Toninelli Postal Address: Ceremade Univ.Paris Dauphine Place du Marechal de Lattre de Tassigny 75775 Paris Cedex 16 - France Office: P207bis --------------------------------------------------------------------------------------------

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Fwd: Open position at HEC
by Roberto CASARIN 30 Sep '25

30 Sep '25

Dear all, I'm happy to share, regards Roberto Casarin ---------- Forwarded message --------- Da: David Ardia <david.ardia(a)hec.ca> Date: mar 30 set 2025 alle ore 15:44 Subject: Open position at HEC To: Roberto CASARIN <r.casarin(a)unive.it> Our Decision Sciences department is opening a tenure-track professor position in financial engineering/mathematical finance/quantitative finance. It might be of interest to your students, colleagues/networks. The department is really nice and the atmosphere is top-notch. It is an ideal environment for researchers and teachers to thrive. Additionally, Montréal is a lovely city that strikes a balance between a European lifestyle and North American energy. Please don't hesitate to contact me if you have any questions. Thanks a lot! David JOB POST HERE https://tre.tbe.taleo.net/tre01/ats/careers/v2/viewRequisition?org=NYQEDG&c… -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera https://www.unive.it/isba2024

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MOX COLLOQUIA - Mark Girolami - 9 Ottobre - Politecnico di Milano
by Laura Maria Sangalli 30 Sep '25

30 Sep '25

Cari Colleghi, vi segnalo il seguente seminario della serie dei MOX COLLOQUIA: 09.11.25 ore 14:00 - Aula Consiglio, Edificio 14, Politecnico di Milano Speaker: Mark Girolami, University of Cambridge, Department of Engineering and The Alan Turing Institute Titolo: Statistical Finite Element Methods Abstract: The finite element method (FEM) is one of the great triumphs of applied mathematics, numerical analysis and software development. Recent developments in sensor and signalling technologies enable the phenomenological study of complex natural and physical systems. The connection between sensor data and FEM has been restricted to solving inverse problems placing unwarranted faith in the fidelity of the mathematical description of the system under study. If one concedes mis-specification between generative reality and the FEM then a framework to systematically characterise this uncertainty is required. This talk will present a statistical construction of the FEM which systematically blends mathematical description with data observations by endowing the Hilbert space of FEM solutions with the additional structure of a Probability Measure. 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 during the talk. Contatto: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> Il seminario sarà accessibile online: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… https://cassyni.com/events/LTNPwiAikdgXq3b4oMwNvR Per seguire il seminario in streaming, è necessario iscriversi (gratuitamente) sulla piattaforma Cassyni. Seguirà rinfresco presso il Dipartimento di Matematica. Cordiali saluti, 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 https://sangalli.faculty.polimi.it

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