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JOBS | 2 PhDs and 1 postdoc position in statistics/ML, University of Oslo (Norway)
by Valeria Vitelli 10 Apr '26

10 Apr '26

Dear all, three fully funded positions in (bio)statistics/ML are available at the Oslo Centre for Biostatistics and Epidemiology <https://www.med.uio.no/imb/english/research/centres/ocbe/>, University of Oslo (UiO), Norway. See the details below. I would be very grateful if you could share the vacancies with talented candidates who might be interested in the positions. All the best, Valeria ---------------------------------------------------------------------------------------------------------------- *PhD positions: *We are looking for two motivated PhD candidates to work at the intersection of machine learning, probabilistic modelling, and genetics. - Project 1: The goal is to develop a new class of methods for analysing tensors with complex latent dependencies, using machine learning models combined with efficient Bayesian inference (e.g., variational approximation) - Project 2: The goal is to develop a new class of generative models for discrete sequence data, combining diffusion models and coalescent theory The *3-years postdoc position *is linked to a project recently funded by the Research Council of Norway concerning Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of probabilistic recommender systems. *Salary & quality of life:* Norway offers competitive PhD / postdoc salaries, typically around 2,500-3000€ net per month, with a cost of living comparable to large European cities (Paris, London). Healthcare is free and Oslo is wonderful (ski slopes accessible by metro). All three positions will be connected to Integreat, the Norwegian Centre for Knowledge-driven ML <https://www.integreat.no/>, already gathering around 25 PhD students and a lively and stimulating environment for an early-career researcher; the hired candidates will also be involved in the broader activities of my larger research group on Statistical models for high-dimensional and functional data <https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…> . *More info and how to apply* 👉 PhD position 1 (deadline *April 19th*): https://www.jobbnorge.no/en/available-jobs/job/297729/phd-position-in-stati… PhD position 2 (deadline *end of April*): link to apply shall be posted on Monday here <https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…> Postdoc position (deadline *April 19th*): https://www.jobbnorge.no/en/available-jobs/job/297730/postdoc-position-in-s… Contact persons / supervisors: William Denault (williade(a)uio.no) Valeria Vitelli ( valeria.vitelli(a)medisin.uio.no) -- Valeria Vitelli Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Norway group page: https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio… <https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…> mailto: valeria.vitelli(a)medisin.uio.no

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Call for application PhD in Economics Ca' Foscari University a.y. 2026-27 - spread the news!
by Antonella Basso 10 Apr '26

10 Apr '26

Dear colleague, The call for applications for the PhD in Economics at Ca' Foscari University of Venice is now open and published here: https://www.unive.it/web/it/259/bando-annuale [ITALIAN] https://www.unive.it/web/en/2161/annual-call <https://www.unive.it/web/en/2161/annual-call> [ENGLISH] We offer 5 positions with fully funded scholarships for 4 years starting from September 2026 and a position for a self-funded foreign candidate. The amount of a scholarship is about 20.000 euros gross/year. From the first year, PhD students can count on 1624,30 euros/year for conference participation or summer/winter schools. *Deadline to apply: May 6th 2026 at 1:00 PM (Italian time).* The PhD program aims to prepare a selected group of students for an academic career, as well as for positions in research sectors of international organizations, public institutions, private companies, central banks, and financial institutions. The wide range of research interests and the international reputation of Ca’ Foscari’s faculty in economics, econometrics, finance, and quantitative fields, along with the rich program of internationally renowned seminars and workshops organized by the department, provide students with a stimulating environment throughout their PhD studies. Students receive appropriate support, including financial aid, to participate in international conferences and workshops and to compete in the international job market. Perspective candidates can register to a Zoom information session on Wednesday April 15th 2026 at 4:00pm <https://www.unive.it/data/agenda/3/114192> (CEST) and get to know our world-class program, faculty, placement and more. The link is: https://forms.gle/6rUiuKgXdef8LYDA9 For information on the PhD programme in Economics: http://www.unive.it/phd-economics Best regards Antonella Basso ********************************************************************************************** Cara/o Collega, Ti scrivo per segnalare l'apertura del bando per il programma di dottorato in Economics offerto dal Dipartimento di Economia dell'Università Ca’ Foscari. Quest'anno sono disponibili 5 posti con borsa quadriennale (circa 20.000 € annui per l'intera durata del dottorato), più un posto per studenti stranieri in possesso di borsa di studio propria. * Il bando si chiude il 6 maggio 2026 alle 13.00.* Il dottorato ambisce a preparare un gruppo selezionato di studenti per la carriera accademica, ma anche per ricoprire posizioni nei settori della ricerca di organizzazioni internazionali, istituzioni pubbliche, imprese private, banche centrali e istituzioni finanziarie. L'ampio spettro di interessi di ricerca e la reputazione internazionale del Dipartimento di Economia in area economica, econometrica, finanziaria, e quantitativa, così come il ricco programma di seminari e workshop di livello internazionale organizzati in dipartimento permettono agli studenti di lavorare in un ambiente stimolante per tutta la durata del corso di dottorato. Gli studenti ricevono adeguato supporto, anche economico, per partecipare a conferenze e workshop internazionali e per poter competere sul job market internazionale. Il *15 aprile alle ore 16.00* in Zoom è organizzato un incontro informativo sul dottorato. E' richiesta la registrazione: https://forms.gle/6rUiuKgXdef8LYDA9 <https://forms.gle/6rUiuKgXdef8LYDA9> Il bando è disponibile a questo link: https://www.unive.it/web/it/259/bando-annuale Informazioni dettagliate sul PhD in Economics di Ca’ Foscari: http://www.unive.it/phdeconomics Cordiali saluti Antonella Basso -- Antonella Basso Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address:basso@unive.it Web page:https://www.unive.it/data/persone/5591751

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ABS (Applied Bayesian Statistics) school on "Interpretable Bayesian Learning,for Physical and Engineering Sciences" in Como, Italy (July 6-10, 2026)
by ELISA VARINI 10 Apr '26

10 Apr '26

Dear all, We are glad to inform you that ABS26, the next Applied Bayesian Statistics school, running since 2004, will be held in the city of Como (Italy), along the Lake Como shoreline at the beautiful Villa del Grumello, on July 6-10, 2026. The school is organised by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the Italian National Research Council in Milano), in cooperation with Fondazione Alessandro Volta. The topic will be Interpretable Bayesian Learning for Physical and Engineering Sciences. The lecturer will be Prof. Simon Mak (Department of Statistical Science, Duke University), a leading expert in integrating domain knowledge (e.g., scientific theories, mechanistic models, guiding principles) as prior information for cost-efficient statistical inference, prediction, and decision-making, with the support of Yen-Chun Liu (Department of Statistical Science, Duke University), a brilliant PhD student of Prof. Mak, specializing in Bayesian optimization, Gaussian processes, and reinforcement learning. If interested, you can register on the school website: https://abs26.imati.cnr.it/ Early registration fees are available until April 30, 2026. As in the past, there will be a combination of theoretical and practical sessions, along with presentations by participants on their work (past, present, and future) related to the school's topic. OUTLINE: This course investigates the rising topic of interpretable statistical learning, motivated by timely needs from modern scientific and engineering applications. For such applications, state-of-the-art machine learning methods often yield analyses that are uninterpretable to scientists, which greatly obfuscates scientific findings and decision-making. Interpretable Bayesian learning provides an elegant and effective solution by embedding scientific principles (e.g., boundary conditions, mechanistic equations) within its prior specification. In this course, we will cover a broad spectrum of interpretable Bayesian learning methods (with theory and algorithms), providing a cohesive roadmap for this recent and rapidly-evolving area of study. This will be complemented by practical case studies from ongoing projects in particle physics, mechanical engineering, and bioengineering. Emphasis will be made on novel directions for research in this promising area. Topics will cover - Fundamentals of Gaussian process (GP) surrogate modeling: prediction, parameter inference, experimental design - Decision-making with GP surrogates: Bayesian optimization, active learning, Bayesian inverse problems - Markov Chain Monte Carlo (MCMC) methods - Boundary-informed GP modeling - Shape-constrained (e.g., monotone, isotonic, convex) GP modeling - Mechanistic GP modeling - Physics-integrated neural networks, its Bayesian variants and recent developments - Dynamical system recovery: SINDy, Bayesian SINDy, and recent developments We hope you will be interested in the school and we would like to meet you in Como. We invite you also to share the information with people potentially interested. Best regards Elisa Varini and Fabrizio Ruggeri Executive Director and Director of ABS26

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Call for applications - MAPPA double degree master program - Padova & Paris Dauphine
by Claudio Fontana 09 Apr '26

09 Apr '26

Dear colleagues, I am pleased to share with you the call for applications for the MAPPA program, a DOUBLE-DEGREE MASTER PROGRAM IN MATHEMATICS jointly offered by the UNIVERSITY OF PADOVA and PARIS DAUPHINE UNIVERSITY (Paris Sciences & Lettres). This two-year program offers three specialized study paths: - MATHEMATICAL ANALYSIS - PROBABILITY AND FINANCE - PROBABILITY AND STATISTICAL MECHANICS Admitted students will spend their first year in Padova and their second year in Paris. Upon successful completion of the program, students will be awarded two degrees: Laurea Magistrale in Matematica (from Padova) and Master in Mathematics and Applications (from Paris Dauphine). The master thesis will be conducted in collaboration with two supervisors, one in Padova and one in Paris. Admission to the program, limited to 10 students, will be based on CV, presentation letters, and an interview. Financial support and fellowships are available for admitted students. For more information on the MAPPA program, please visit: https://web.math.unipd.it/mappawp The call for applications (bando) can be found here: https://www.math.unipd.it/news/bando-di-concorso-n-1-2025-per-10-posti-per-… The _DEADLINE FOR APPLICATIONS_ is MAY 12, 2024, AT 12:00. Please share this opportunity with your bachelor students, and feel free to contact me for further information. Best Regards, Claudio Fontana

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Rome Joint Seminars on Stochastic Dynamics, Control, and Learning – Second Meeting
by Marta Leocata 09 Apr '26

09 Apr '26

Cari colleghi, siamo felici di annunciare il secondo incontro del ciclo di seminari Rome Joint Seminars on Stochastic Dynamics, Control, and Learning (RoJo-SDCL) che si terrà giovedì 16 aprile 2026, dalle 16:00 alle 18:00 presso l’edificio condiviso EIEF–World Bank (EIEF – Einaudi Institute for Economics and Finance), Sala Conferenze, Via degli Abruzzi 10, Roma. Gli speaker di questo incontro saranno: Filippo Santambrogio <https://math.univ-lyon1.fr/~santambrogio/>, Université Claude Bernard - Lyon 1 Topics in the Quantization of Measures Daria Ghilli <https://unipv.unifind.cineca.it/get/person/056525>, University of Pavia Mean Field Games in Infinite Dimensions and Applications to Economics Ulteriori informazioni sono disponibili al seguente link: https://sites.google.com/view/rome-sdcl/home Vi informiamo inoltre che sullo stesso sito è possibile accedere alle slides dei precedenti incontri. La partecipazione ai seminari è gratuita, ma la registrazione (non vincolante) è fortemente consigliata per accelerare l’ingresso nell’edificio condiviso EIEF–World Bank: https://docs.google.com/forms/d/e/1FAIpQLScY_AxL3_DPe8VRdCo_M0HdG77czb8qX0x… Speriamo di vedervi numerosi e vi invitiamo a condividere questo annuncio con chiunque possa essere interessato. A presto, Valeria Bignozzi, Sapienza University of Rome Alessandro Bondi, Luiss University Katia Colaneri, University of Rome Tor Vergata Jodi Dianetti, University of Rome Tor Vergata Marta Leocata, Luiss University

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Reminder: Funding Deadline for StatMech Summer School 2026 - Padova
by Alessandra Bianchi 09 Apr '26

09 Apr '26

Dear colleagues, This is a friendly reminder that the deadline to request financial support for participation in the StatMech Summer School 2026 is approaching. If you wish to attend and have not yet registered and/or applied for funding, please do so now to secure your participation. All information is available here: https://sites.google.com/view/ris-school-26/home We look forward to seeing you in Padova. The organizers, Alessandra Bianchi Alberto Chiarini Giambattista Giacomin Vanessa Jacquier -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy

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SEMINAR: Gregor Kastner @Luiss - 15 Apr
by Matteo Iacopini 09 Apr '26

09 Apr '26

Dear all, On Wednesday, 15th April, at 12:00 in room A307b, the Department of AI, Data and Decision Sciences of Luiss University of Rome will host a seminar by Gregor Kastner (University of Klagenfurt) Title: "Bayesian nonparametric priors for model-based (partial) clustering” Abstract: We discuss variations of prior distributions for finite and potentially infinite mixture models. First, we extend standard Bayesian nonparametric spatial priors to additionally incorporate the temporal dimension, thereby allowing for spatio-temporal clustering. Second, we show how these priors can be modified to cater for partial effects by a priori distinguishing between control and target variables. Third, we propose a novel prior for modelling the weights in mixture models. It is based on the Selberg Dirichlet distribution, an extension of the standard Dirichlet with a repulsive term, and penalises mixture weights that lie close to each other. The approaches are illustrated with applications from various fields: modelling unemployment, quantifying the effect of European agricultural subsidies, and uncovering patterns in biomedical data. Anyone interested in attending is welcome; just email me for logistical purposes. Hoping to meet you there! Best, Matteo Iacopini La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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Postdoc in Reinforcement Learning for Stochastic Optimization @ VU Amsterdam
by Zocca, A. (Alessandro) 08 Apr '26

08 Apr '26

Dear colleagues, We have an open postdoc position in our group in the Department of Mathematics at Vrije Universiteit Amsterdam, and I'd be grateful if you could share this with anyone who might be a good fit. The position is a two-year postdoc in Reinforcement Learning for Stochastic Optimization, starting September 2026. The role is primarily research-focused (85%), with a small teaching component (15%). We're looking for someone with a PhD in applied mathematics, operations research, or computer science and a strong background in RL. The research will focus on developing new methodologies at the intersection of RL and stochastic optimization, with applications in energy systems, healthcare, and scheduling. Application deadline: 21 April 2026 Full details and the application link are here: https://workingat.vu.nl/vacancies/postdoc-in-reinforcement-learning-for-sto… Please feel free to forward this to potential candidates or post it in your networks. Don't hesitate to reach out if you have any questions. Best, Alessandro ———————————————————————————————————————————— Alessandro Zocca (he/his) Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://alessandrozocca.github.io/

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Seminario Bignamini - 14 Aprile - Università di Milano-Bicocca
by Federica Masiero 07 Apr '26

07 Apr '26

Buongiorno segnalo il seguente seminario *Martedì 14 Aprile alle ore 11 * in *aula U3/5* (Edificio U3 • BIOS • Università degli Studi di Milano-Bicocca <https://www.google.com/maps/place/Edificio+U3+%E2%80%A2+BIOS+%E2%80%A2+Univ…>), Piazza della Scienza 2, Milano *Speaker*: Davide Augusto Bignamini (Università degli studi dell'Insubria.) *Titolo: *Pathwise uniqueness for stochastic PDEs with singular locally Hölder-continuous drift *Abstract: *This talk is based on the paper [1]. The main focus is pathwise uniqueness for mild solutions to stochastic PDEs with a Hölder-continuous perturbation in the drift, given in differential form. The singularity of the drift perturbation allows to achieve novel pathwise uniqueness results for several classes of examples, ranging from fluid-dynamics to phase-separation models, previously studied only in the context of weak uniqueness, see [2,3]. References: [1]D. Addona, D. A. Bignamini, C. Orrieri, L. Scarpa, Pathwise uniqueness by noise for singular stochastic PDEs, e-print arXiv:2512.17736, 2025. [2] F. Bertacco, C. Orrieri, L. Scarpa, Weak uniqueness by noise for singular stochastic PDES, Transactions of the American Mathematical Society 378, 7977-8023 (2025). [3]E. Priola, An optimal regularity result for Kolmogorov equations and weak uniqueness for some critical SPDEs, Annals of Probability 49, 1310–1346 (2021). -- Federica Masiero Dipartimento di Matematica e Applicazioni, Università di Milano Bicocca, Edificio U5 via Roberto Cozzi, 55, 20126 Milano

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Seminars in Statistics at Collegio Carlo Alberto - Pierre LATOUCHE (Université Clermont Auvergne)
by Matteo Giordano 04 Apr '26

04 Apr '26

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 10/04/2026, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Pierre LATOUCHE (Université Clermont Auvergne) Title: Importance weighted variational graph autoencoders for inference in deep latent position block models Abstract: In this presentation, I will first show how latent position models can be made compatible with block models for network analysis through the use of deep generative models. I will focus on the binary edge case and introduce a new random graph model along with a variational graph auto encoding strategy for inference. I will discuss the identifiability of the model and explain how model selection can be performed. I will then move to the sparse discrete edge case in the same deep, block compatible, modelling framework. I will show how importance weighted variational inference can strongly improve the inference procedure over the classical variational auto encoding strategy. I will give the importance weights used for sampling and show that, in the limit, the lower bound obtained converges to the integrated log likelihood of the data. Through this presentation, I will emphasise the need to rely on flexible random graph models to obtain relevant loss functions. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare un’email 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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