August 2026 - Random - Mailing list — Dipartimento di Matematica, UniPI

Conference Announcement: "Deterministic and Stochastic Evolution Equations", October 26-28, 2026, Pisa, Italy
by Andrea DI PRIMIO 30 Sep '26

30 Sep '26

Dear Colleagues, we are pleased to announce the upcoming conference *Deterministic and Stochastic Evolution Equations*, to be held at *Scuola Normale Superiore, Pisa, Italy* from *October 26th, 2026* to *October 28th, 2026*. The event will bring together researchers working in the fields of mathematical analysis and probability to discuss recent developments, exchange ideas, and foster new directions of research. The conference will provide a stimulating environment for researchers and students interested in deterministic and stochastic evolution equations. We would be grateful if you could forward this announcement among colleagues and other potentially interested participants. The list of speakers and further information can be found at the webpage https://indico.sns.it/e/dsee2026. Registration is free of charge, but mandatory and will remain open until *October 11th, 2026*. Limited funding is available to support participants' accommodation expenses. Those wishing to apply for financial support are kindly requested to register by *September 13th, 2026*. We look forward to welcoming you to Pisa! Best regards, Franco Flandoli and Andrea Di Primio

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One year post-doc position in Padova opening soon
by Giorgia Callegaro 04 Sep '26

04 Sep '26

Dear all, We are pleased to announce that a post-doctoral position will open after the summer break at the Department of Mathematics in Padova. The research topic focuses on *cyber security risk mitigation*, and the successful candidate will join the working team of Profs. Callegaro, D'Auria, and Fontana. All relevant (and available!) details can be found in the attached PDF. Please feel free to reach out if you have any questions. We look forward to receiving your applications! Best regards, Giorgia, Bernardo and Claudio 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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Forum "Artificial Intelligence in Biomedicine" – 6 novembre 2026, Lugano
by Azzimonti Laura 31 Aug '26

31 Aug '26

Dear Colleagues, We would like to inform you about the upcoming scientific Forum "Artificial Intelligence in Biomedicine: from basic research to clinical application", organised by IBSA Foundation in collaboration with IDSIA. The Forum will address the role of artificial intelligence in biomedical research and in supporting the transition from scientific discovery to clinical practice, with a focus on predictive and personalised medicine. Attendance is free and open to the public. Date and venue 6 November 2026, 9:00 AM – 5:30 PM USI-SUPSI, Campus Est, Lugano Programme The Forum will bring together international experts in biology, medicine and computational science, structured in two sessions: digital twins and personalised medicine; and AI applied to protein and compound design. Call for abstracts A call for abstracts is open to researchers wishing to present their work. Selected abstracts will be presented as oral or poster contributions. Submission deadline: 19 October 2026. Further details on the programme, speakers and abstract submission are available at: https://www.ibsafoundation.org/en/artificial-intelligence-in-biomedicine-20… For further information, please contact info(a)ibsafoundation.org<mailto:info@ibsafoundation.org>. Best regards, Laura Azzimonti on behalf of the Scientific Board IBSA Foundation Forum ––––––––––––––––––––––––––––––––––––––––––––– Scuola universitaria professionale della Svizzera italiana Istituto Dalle Molle di studi sull’intelligenza artificiale IDSIA USI-SUPSI Laura Azzimonti, PhD Senior Researcher and Lecturer Polo universitario Lugano Via la Santa 1 CH – 6962 Lugano-Viganello Tel. +41 (0)58 666 66 44 laura.azzimonti(a)idsia.ch www.idsia.ch

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BayesComp27 mirror in Aussois, French Alps
by Francesca Crucinio 28 Aug '26

28 Aug '26

Dear all, We invite proposals <https://www.google.com/url?q=https://docs.google.com/forms/d/e/1FAIpQLSfK1w…> for the BayesComp 2027 mirror <https://www.google.com/url?q=https://sites.google.com/view/bayescomp27mirro…> conference in Aussois, France, that will take place on 17-21 May, 2027. The event <https://www.google.com/url?q=https://sites.google.com/view/bayescomp27mirro…> will complement the main BayesComp 2027 meeting in Texas and provide a European forum for researchers in Bayesian computation and related areas. Plenary sessions will be broadcasted from Texas, while talks in Aussois will be recorded. Please submit one form <https://www.google.com/url?q=https://docs.google.com/forms/d/e/1FAIpQLSfK1w…> per proposed contribution. Proposals <https://www.google.com/url?q=https://docs.google.com/forms/d/e/1FAIpQLSfK1w…> may be for contributed talks, or poster presentations. The programme committee will review submissions based on scientific quality, timeliness, coherence, and expected appeal to the BayesComp community. Unless the submission mentions otherwise, talk proposals that are rejected will be automatically added as posters. Details about the venue (CAES Paul Langevin), potential registration fees, and technical details are being finalized and will be announced on the webpage for the BayesComp 2027 mirror conference <https://www.google.com/url?q=https://sites.google.com/view/bayescomp27mirro…> . The local organizing committee

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Rome Workshop on Log-Correlated Fields and SPDEs
by Tommaso Cornelis Rosati 24 Aug '26

24 Aug '26

Dear all, We are pleased to announce the Rome Workshop on Log-Correlated Fields and SPDEs, taking place on 21-22 September at Villa Mondragone (Università di Roma Tor Vergata). The workshop brings together researchers working on log-correlated fields, random matrices and critical SPDEs. The list of speakers and the programme are available at: https://sites.google.com/view/log-spde-rome If you are interested in participation you are welcome to reach out. Best wishes, Tommaso Rosati and Giorgio Cipolloni

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IMS Tom Kurtz award and lecture
by Cristina Caroli Costantini 24 Aug '26

24 Aug '26

Vorrei segnalare che l'Institute of Mathematical Statistics ha costituito un fondo di donazioni per finanziare un premio biennale in onore di Tom Kurtz. Il premio consiste nell'invito a tenere una conferenza plenaria a Stochastic Networks - un convegno cosponsorizzato dall'IMS che si tiene ogni due anni - con le spese di viaggio pagate. Tom è stato, insieme a Peter Glynn, il fondatore di questo convegno periodico. Il convegno è concepito per coprire uno spettro di argomenti piuttosto ampio, che include molte delle aree in cui Tom ha lavorato. Il fondo verrebbe gestito dall'IMS in modo da finanziare permanentemente il premio, con il proprio rendimento. Chi volesse contribuire può farlo, con carta di credito, sulla pagina https://imstat.org/shop/donation/ dove sono elencati i fondi di donazione dell'IMS in ordine alfabetico. Un saluto cordiale a tutti, Cristina Costantini

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PhD position in Mathematical Foundations of Machine Learning at University of Bern
by Andrea Agazzi 14 Aug '26

14 Aug '26

Dear Colleagues, The Department of Mathematics and Statistics of the University of Bern is seeking an excellent candidate for a PhD position in the area of Mathematical Foundations of Machine Learning under my supervision with an expected starting date in Fall Semester 2026, or by agreement (we are quite flexible). For further details concerning the position, application procedure, salary, and eligibility requirements, please follow this link: https://jobs.unibe.ch/job-vacancies/phd-position-in-mathematical-foundation… Review of applications will begin in the *last week of August 2026* and continue until the position is filled. I would be grateful if you could circulate this announcement to potential candidates. Best wishes, Andrea Agazzi (andrea.agazzi(a)unibe.ch)

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PhD/Postdoc position - Ruhr University Bochum
by Nicola Turchi 13 Aug '26

13 Aug '26

Dear colleagues, I am pleased to share the following call for applications. Please feel free to circulate this within your networks. __________ PhD or Postdoctoral Position in Probability Theory *Ruhr University Bochum – Faculty of Mathematics* *Application deadline: September 1, 2026* The Faculty of Mathematics at Ruhr University Bochum invites applications for a PhD or Postdoctoral position in Probability Theory. The starting date is flexible, but preferably no later than January 2027. The position is part of the research group of Prof. Christoph Thäle, which focuses on stochastic geometry and geometric probability. The group studies the asymptotic behavior of random spatial structures, ranging from discrete to high-dimensional models, using methods from probability theory and geometric analysis. We are looking for a highly motivated candidate who wishes to conduct independent research in a modern area of probability theory, ideally with a focus on stochastic geometry. Applicants should hold an excellent Master’s degree (for the PhD position) or PhD (for the Postdoctoral position) in mathematics, preferably in one of the following areas: - Probability theory - Geometry - Combinatorics *Position details:* - *PhD position:* 75% TV-L E13 (German public sector pay scale), fixed term of three years - *Postdoctoral position:* 100% TV-L E13, fixed term of two years *Application process:* Interested candidates should contact Tanja Schiffmann at tanja.schiffmann(a)rub.de to obtain the link to the online application portal. Applications must be submitted through the portal as a single PDF file containing: - a cover letter - a curriculum vitae - academic transcripts All application materials must be received by *September 1, 2026*. For academic inquiries, please contact Christoph Thäle or visit his website <https://sites.google.com/view/christophthaele/start>. __________ Best regards, Nicola Turchi Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca

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PhD position in Numerical Analysis at Bielefeld University - Deadline: AUGUST 19
by Ferrari, Giorgio 12 Aug '26

12 Aug '26

Dear All, I forward with pleasure the announcement for a PhD position in Numerical Analysis at Bielefeld University: https://jobs.uni-bielefeld.de/jobpdfprint/4927 Best wishes, Giorgio Ferrari

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Seminario Fabio Centofanti, KU Leuven, presso Politecnico di Milano
by Laura Maria Sangalli 08 Aug '26

08 Aug '26

Cari Colleghi, A seguire annuncio di un seminario organizzato presso il Laboratorio MOX - Dipartimento di Matematica, Politecnico di Milano Fabio Centofanti, KU Leuven, Belgium 11.09.26 ore 14:00 – Aula Saleri, sesto piano Dipartimento di Matematica Titolo: Robust Multivariate Analysis under Cellwise and Casewise Contamination Abstract: Robust statistics has traditionally focused on casewise outliers, meaning observations that behave differently from the bulk of the data. In modern datasets, however, contamination can occur in the form of cellwise outliers, which are individual contaminated entries in the data matrix. Even when the proportion of contaminated cells is relatively small, many observations may still contain at least one outlying value, which can make both classical and casewise robust methods unreliable. This talk presents recent developments for handling situations in which casewise and cellwise outliers appear simultaneously. We begin by introducing cellPCA, a novel robust principal component analysis method that estimates the principal subspace while simultaneously accommodating cellwise and casewise outliers, as well as missing values. Building on cellPCA, we then introduce cellRCov, which is a robust covariance estimator for high dimensional settings. The second part of the talk focuses on multivariate linear regression. The cellMR estimator combines robust covariance estimation with regularization to handle outliers in both the predictor and response matrices. We then introduce cellBoot, a bootstrap procedure based on indirect inference that complements robust estimation with valid confidence intervals for the regression coefficients. We conclude with a perspective on more complex data structures and contamination patterns, including tensor data, time series, functional data, and blockwise contamination. Un caro saluto a tutti, 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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