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9 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline May 20, 2026 - 13:00 (CEST)
by Susi Ceron 17 Apr '26

17 Apr '26

Nine PhD scholarships funded by the University of Padova and Ministry of University and Research are available at University of Padova for candidates interested in the area of*Statistical Sciences (start of activities: November 1st, 2026)*. *Eligibility* The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2026). Admission is decided on the basis of qualifications and an interview. *Grant awarded* The annual grant will be of euros *18,643.00* (gross amount). This corresponds to the basic scholarship of €16,243.00 (gross amount), plus €2,400 funded from the Department’s and the University’s budgets. This results in a net monthly amount of €1,372.18, compared with the basic amount of €1,195.53. The grant will be awarded for a period of three years and will be conditional upon the achievement of satisfactory results, which will be assessed on an annual basis. *How to apply* The call is published (*deadline May 20, 2026 - 1 pm CEST*) at the page http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie English version at the page http://www.unipd.it/en/node/1053 Please note that the curriculum has to be written by filling the template *CV_XLII* available from the Course web page http://www.stat.unipd.it/ricerca/ammissione and uploading the filled template in the online procedure. *Applications are only accepted online using the link indicated in the call.* For more information about the Statistical Sciences PhD program see https://www.stat.unipd.it/ricerca/dottorato-di-ricerca For more information about admission see http://www.stat.unipd.it/ricerca/ammissione or contact phd(a)stat.unipd.it Kindest regards, PhD Secretariat on behalf of prof. Nicola Sartori Coordinator of the PhD Course in Statistics University of Padova - Italy -- Dott.ssa Susi Ceron Dipartimento di Scienze Statistiche Universita' degli Studi di Padova Via Cesare Battisti 241 - 35121 Padova tel. +39 049 8274167 fax +39 049 8271524 www.stat.unipd.it

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Seminars in Statistics at Collegio Carlo Alberto - Randolf ALTMEYER (IMPERIAL COLLEGE LONDON)
by Matteo Giordano 17 Apr '26

17 Apr '26

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 24/04/2026, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Randolf ALTMEYER (IMPERIAL COLLEGE LONDON) Title: PARAMETER ESTIMATION FOR MATÉRN RANDOM FIELDS FROM LOCAL MEASUREMENTS Abstract: Gaussian random fields with Matérn covariance structure are fundamental models in spatial statistics and widely used in applications. Given discrete observations on a regular grid, we study the parametric estimation of key parameters governing variance, range, and smoothness. Our approach is based on the representation of the random field as the solution to an elliptic stochastic partial differential equation (SPDE), which provides a structural framework for inference. A key insight from this representation is that the model parameters exhibit distinct local scaling behavior, reflecting the local structure of the underlying differential operator. Building on this idea, we construct spatially localized linear combinations of the data, referred to as local measurements, which approximate localized features of the field. By analyzing how these quantities scale across resolutions, we develop a novel class of estimators based on localized quadratic functionals. This can be viewed as a multi-dimensional extension of quadratic variation techniques from time series analysis. By carefully designing test functions with prescribed moment cancellation properties, we obtain explicit estimators for the variance, range, and smoothness parameters. We establish asymptotic normality under infill asymptotics and derive explicit expressions for the estimator variances using Gaussian moment identities. The resulting methods are computationally efficient, with linear complexity in the number of observations. Numerical experiments demonstrate that the proposed estimators are competitive with existing approaches while offering substantial computational advantages. ------------------------------------------------ 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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OWABI Seminar - Oksana Chkrebtii - April 30 - 1pm UK time
by Massimiliano Tamborrino 17 Apr '26

17 Apr '26

Dear all, please save the date for the next OWABI seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi>. We are delighted to announce that our next speaker is Oksana Chkrebtii<https://u.osu.edu/oksanachkrebtii/> (Ohio State University) who will talk about "Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems" on Thursday the 30th April at 1pm UK time (note the different time!) with an abstract reported below. The talk will be streamed at the OWABI MS Team channel General | OWABI Seminar: One World Approximate Bayesian Inference Seminar | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…> at the following link Join: https://teams.microsoft.com/meet/374263351331567?p=tEOIPwLR7ejGFX1vSm Meeting ID: 374 263 351 331 567 Passcode: B8Em6Cg9 Speaker: Oksana A. Chkrebtii<https://u.osu.edu/oksanachkrebtii/> (Ohio State University) Title: Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems Abstract: Generative models and those with computationally intractable likelihoods are widely used to describe complex systems in the natural sciences, social sciences, and engineering. Fitting these models to data requires likelihood-free inference methods that explore the parameter space without explicit likelihood evaluations, relying instead on sequential simulation, which comes at the cost of computational efficiency and extensive tuning. We develop an alternative framework called kernel-adaptive synthetic posterior estimation (KASPE) that uses deep learning to directly reconstruct the mapping between the observed data and a finite-dimensional parametric representation of the posterior distribution, trained on a large number of simulated datasets. We provide theoretical justification for KASPE and a formal connection to the likelihood-based approach of expectation propagation. Simulation experiments demonstrate KASPE’s flexibility and performance relative to existing likelihood-free methods including approximate Bayesian computation in challenging inferential settings involving posteriors with heavy tails, multiple local modes, and over the parameters of a nonlinear dynamical system. Keywords: Deep learning; likelihood-free inference; generative models. Reference: R. Zhang, O.A. Chkrebtii, D. Xiu. Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems. Preprint at ArXiv:2508.00167 https://arxiv.org/pdf/2508.00167 Best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Seminario Padova - Bouchot
by alekos.cecchin＠unipd.it 17 Apr '26

17 Apr '26

Buongiorno a tutte/i, Vorremmo segnalarvi che Venerdì prossimo (6 Marzo) alle 14:30 in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Nicolas Bouchot (Universität Innsbruck) <https://www.uibk.ac.at/mathematik/personal/bouchot-nicolas/bouchotnicolas.h tml> website Title: Confined walk, interlacements and covering time Date: March 6, 2026, at 14:30, 2AB40 Abstract: Random interlacements are understood to naturally arise as a full-volume limit of random walks spending a long time inside a domain. However, this understanding is somewhat indirect, as it is often through ways of large deviations principles. In this talk, I will present a straightforward model: the random walk confined inside a domain. We obtain a precise coupling between this confined walk and some interlacements tilted by the first Laplace eigenvector on the domain. As an application, I will present asymptotics for the covering time of subdomains by the confined walk. Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Bando RTT STAT-04/A Università di Genova - Dipartimento di Economia
by Matteo Brachetta 17 Apr '26

17 Apr '26

Care Colleghe, Cari Colleghi, è aperta una procedura di selezione per l’assunzione di 1 Ricercatore a tempo determinato in tenure track (RTT) presso il Dipartimento di Economia dell'Università di Genova. Settore scientifico disciplinare (SSD): STAT-04/A - Metodi matematici dell'economia e delle scienze attuariali e finanziarie Scadenza per la presentazione delle domande: 7 Maggio 2026, ore 12:00. Il bando è disponibile a questo link: https://concorsi.unige.it/home/procedure/5373 Cordiali saluti, %---------- ENGLISH VERSION ----------% Dear Colleagues, We are pleased to announce a call for applications for one tenure-track Assistant Professor (RTT) position at the Department of Economics, University of Genoa. Research Field (SSD): STAT-04/A – Mathematical methods for economics, actuarial, and financial sciences. Application Deadline: May 7, 2026, at 12:00 PM (CET). The full announcement is available at the following link: https://concorsi.unige.it/home/procedure/5373 Best regards, Matteo Brachetta Associate Professor Department of Economics - University of Genoa

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Invitation to Join the IAVCEI Commission on Statistics in Volcanology (COSIV)
by Andrea Bevilacqua 16 Apr '26

16 Apr '26

Dear Colleagues, The IAVCEI Commission on Statistics in Volcanology (COSIV) is actively looking to welcome new members, especially Early Career Researchers (ECRs), to join our international group. *Who We Are & What We Do* Established in 2007, our commission focuses on fostering the statistical analysis of volcanological data. We pride ourselves on our highly multidisciplinary nature, constantly working to bridge the gap between Earth Sciences, Mathematics, Statistics, and Engineering. The COSIV was recently presented in the IAVCEI Newsletter n.1 2026: https://www.iavceivolcano.org/newsletter-1-2026/. *Upcoming Initiatives* By joining COSIV, you will have the opportunity to engage with our network and participate in our upcoming events, which currently include: - A proposed collaborative scientific session at the upcoming IUGG 2027 in Incheon, South Korea, titled "Probability Analysis of Volcanic Hazards and Implications for Risk Assessment". - A newly planned COSIV scientific workshop currently in the early stages of organization, which is slated to be based in Italy. *How to Join* We welcome all interested IAVCEI members to get involved. To become an active member, please fill out our quick subscription form: https://forms.gle/zw3BxyJSuV8w5NPS7. For more information about the COSIV, please visit our website: https://cosiv.iavceivolcano.org/. We look forward to bringing fresh perspectives into the commission! Best regards, The COSIV Leadership Board Andrea Bevilacqua (INGV, Italy) Vanesa Burgos (IGN, Spain) Susanna Jenkins (EOS, Singapore) Stuart Mead (GNS, New Zealand) Alessandro Tadini (INGV, Italy)

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A Spring Day in Probability and Statistical Physics - Florence, 8 May 2026
by Elia Bisi 16 Apr '26

16 Apr '26

Dear colleagues, We are happy to announce the 17th event in the series “Days in Probability and Statistical Physics”: A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS 8 May 2026 University of Florence, Department of Mathematics and Computer Science, Viale Morgagni 67/a, Florence Speakers: Perla Sousi (University of Cambridge) will speak on: The cutoff phenomenon for random walks Laurent Miclo (Toulouse School of Economics) will speak on: On set-valued intertwining duality for Markov processes Each speaker will give a 45’ introductory lecture tailored for non-experts, followed by a 45’ more advanced seminar talk. Registration is free but mandatory for organization purposes. Please fill out this form by 3 May at the latest. Please feel free to share the announcement with those who may be interested, particularly young researchers. We look forward to seeing many of you. The organisers Luisa Andreis, Luca Avena, Gianmarco Bet, and Elia Bisi *************** More information, including abstracts, can be found at this link. The poster of the event can be viewed here. PROGRAM 10:30-11:00 Welcome coffee 11:00-11:45 Introductory lecture: Perla Sousi 11:45-12:15 Break 12:15-13:00 Seminar talk: Perla Sousi 13:00-14:30 Lunch 14:30-15:15 Introductory lecture: Laurent Miclo 15:15-15:45 Break 15:45-16:30 Seminar talk: Laurent Miclo ————————— Elia Bisi Assistant Professor (RTT) University of Florence Department of Mathematics & Computer Science Personal homepage Florence Probability group

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CALL FOR EXPRESSIONS OF INTEREST – RTT in STAT-04 @Tor Vergata
by Katia Colaneri 16 Apr '26

16 Apr '26

*Italian at the bottom. * *CALL FOR EXPRESSIONS OF INTEREST – TENURE-TRACK ASSISTANT PROFESSOR (RTT)* *Department of Economics and Finance* *University of Rome “Tor Vergata”* The Department of Economics and Finance at the University of Rome “Tor Vergata” invites expressions of interest for a *Tenure-Track Assistant Professor (RTT)* position in the area of *Mathematical Methods for Economics and Actuarial and Financial Sciences (STAT-04)*. *Position profile* We are seeking candidates with strong research potential in quantitative methods applied to economics, finance, and actuarial science. The successful candidate is expected to contribute to the Department’s research environment and teaching activities, as well as to engage with the broader academic community. *Key responsibilities* - Conduct high-quality research leading to publications in internationally recognised peer-reviewed journals; - Teach undergraduate and graduate courses (in Italian and/or English) in areas related to the STAT-04 field; - Supervise undergraduate and master’s theses; - Participate actively in departmental life and academic service; - Contribute to the development of research projects and external funding applications. *Qualifications* - PhD in Economics, Mathematics, Statistics, Finance, or a closely related field (completed); - A research agenda consistent with the STAT-04 area, with demonstrated potential for publication; - Evidence of teaching ability is desirable; - Ability to work in an international and interdisciplinary environment; - Proficiency in English. *Contract and career development* The position is a tenure-track appointment (RTT) under the Italian academic system, with the possibility of transition to a permanent position subject to the conditions, procedures, and evaluations established by the applicable legislation. *Application procedure* Interested candidates are invited to submit a detailed CV including a list of publications. Applications should be sent by *April 24* to: recruiting.def(a)gmail.com *Additional information* This call is intended to identify potential candidates and does not constitute a formal job opening. A formal recruitment procedure may follow in accordance with Italian regulations. --------------------------------------- *CALL FOR INTEREST – POSIZIONE RTT (RICERCATORE A TEMPO DETERMINATO IN TENURE TRACK)* *Dipartimento di Economia e Finanza* *Università degli Studi di Roma “Tor Vergata”* Il Dipartimento di Economia e Finanza dell’Università degli Studi di Roma “Tor Vergata” invita manifestazioni di interesse per una posizione di *Ricercatore a Tempo Determinato in Tenure Track (RTT)* nell’ambito del settore scientifico-disciplinare *STAT-04 – Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie*. *Profilo della posizione* Il/la candidato/a ideale svolgerà attività di ricerca e didattica nelle aree proprie del settore STAT-04, con particolare riferimento a metodi quantitativi avanzati applicati all’economia, alla finanza e alle scienze attuariali. Sarà incoraggiata la partecipazione a progetti di ricerca nazionali e internazionali, nonché la collaborazione con altri gruppi di ricerca del Dipartimento e dell’Ateneo. *Attività previste* - Svolgimento di attività di ricerca scientifica di elevato livello, con produzione di pubblicazioni su riviste internazionali peer-reviewed; - Attività didattica in corsi di laurea, laurea magistrale e dottorato, in lingua italiana e inglese; - Supervisione di tesi di laurea e laurea magistrale; - Partecipazione alla vita accademica del Dipartimento e alle attività istituzionali; - Contributo allo sviluppo di progetti di ricerca competitivi e alla terza missione. *Requisiti * - Dottorato di ricerca economia, matematica, statistica, finanza o discipline affini; - Solida produzione scientifica coerente con il settore STAT-04; - Esperienza di insegnamento a livello universitario; - Capacità di lavorare in contesti interdisciplinari e internazionali; - Ottima conoscenza della lingua inglese. *Tipologia contrattuale* La posizione è inquadrata come RTT ai sensi della normativa vigente, con prospettiva di progressione verso una posizione permanente subordinato alle condizioni, procedure e valutazioni previste dalla legislazione applicabile. *Modalità di candidatura* Gli/le interessati/e sono invitati/e a inviare un CV aggiornato comprensivo dell'elenco delle pubblicazioni. Le candidature dovranno essere inviate entro il *24 aprile* al seguente indirizzo email: recruiting.def(a)gmail.com *Note* La presente call ha natura esplorativa e non costituisce un bando ufficiale di concorso. Potrà seguire l’attivazione di una procedura selettiva formale in conformità alla normativa vigente.

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2 incarichi post-doc Dipartimento di Scienze Statistiche dell’Università di Padova
by Livia Mian 16 Apr '26

16 Apr '26

Gentilissime/i, segnaliamo l’apertura di 2 posizioni di *incarichi post-doc di durata 24 mesi presso il Dipartimento di Scienze Statistiche dell’Università di Padova. * L'attività di ricerca del candidato, nell'ambito della statistica metodologica e/o applicata, della statistica economica, della statistica sociale e della demografia, sarà definita a partire da una linea di ricerca sviluppata dal candidato sulla base del proprio background scientifico considerando gli obiettivi e le tematiche di ricerca di interesse del Dipartimento. Tutti i dettagli sulle posizioni e procedura di selezione sono disponibili a questo link: https://www.stat.unipd.it/news/termine/102 *Scadenza: 28 aprile 2026, ore 13:00* Il Dipartimento di Scienze Statistiche, Università di Padova **** Dear all, we are pleased to inform you that the Department of Statistical Sciences at the University of Padova has opened *2 vacancies for postdocs for 24-month duration.* The candidate's research activity, in the field of methodological and/or applied statistics, economic statistics, social statistics, and demography, will be defined starting from a research line developed by the candidate based on their own scientific background, considering the objectives and research themes of interest to the Department. All the details about the position and selection process are available at this link: https://www.stat.unipd.it/news/termine/102 *Deadline: April 28 2026, 1 PM CEST* Department of Statistical Sciences, University of Padova -- Ufficio Ricerca Dipartimento di Scienze Statistiche Università degli Studi di Padova Tel. +39 049 827 4118

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QFinLab Seminar - Neofytos Rodosthenous (University College London) - 21/4/2026, 15:30 @ Department of Mathematics, Politecnico di Milano
by Alessandro Calvia 15 Apr '26

15 Apr '26

Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Tuesday, 21 April 2026, 15.30-16.30 Seminar room, third floor, building 14, Via Bonardi 9, Milano<https://www.google.com/maps/search/Via+Bonardi+9,+Milano?entry=gmail&source…> (Leonardo Campus); online (Microsoft Teams), Link<https://teams.microsoft.com/meet/37636229162148?p=ARUIgsqktVw4OOzc64> <https://teams.microsoft.com/l/meetup-join/19%3ameeting_NjU3ODM1MzMtZWMwOS00…> Neofytos Rodosthenous (University College London) Title: Regulation in a mean-field investment game with climate damage. Abstract: We develop a mean-field model of firms investing in carbon-intensive (brown) capital, where productivity declines due to temperature-related climate damages linked to cumulative emissions. Firms aim to maximise expected discounted profits under stochastic capital dynamics driven by idiosyncratic shocks, facing a trade-off between investment-driven growth and increased emissions. We characterise the unique mean-field equilibrium as the solution to a coupled system of forward-backward ordinary differential equations. This framework also enables the analysis of optimal regulatory instruments — such as carbon emission taxes and brown production phase-out timelines — in line with long-term climate goals. All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>. The organizers: Michele Azzone and Alessandro Calvia.

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