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Bando RTDB MAT/06 presso il Dipartimento di Matematica, Politecnico di Milano
by Federico Bassetti 25 Jan '22

25 Jan '22

Vi segnalo il seguente bando per una posizione di RTDB nel s.s.d. MAT/06, presso il Dipartimento di Matematica, Politecnico di Milano. https://www.polimi.it/index.php?id=6196&tx_wfqbe_pi1[ID]=771 https://www.polimi.it/fileadmin/user_upload/Lavora-con-noi/allegati_ricerca… La scadenza è il 27-1-2022. Cordiali saluti, Federico Bassetti

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full-time faculty position in Belgium
by Daniela De Canditiis 25 Jan '22

25 Jan '22

dear all, The Research unit Statistics and Risk at KU Leuven in Belgium (department of Mathematics <https://wis.kuleuven.be/>, Faculty of Science) invites applications for an (open rank) full-time faculty position in the areas of risk management, financial mathematics, financial statistics or mathematical statistics. Full details are listed in the vacancy <https://www.kuleuven.be/personeel/jobsite/jobs/60076014?hl=en&lang=en>, which closes on Feb 28, 2022. Best regards -- Daniela De Canditiis, PhD Istituto per le Applicazioni del Calcolo "M.Picone" (CNR) via dei Taurini, 19 -- 00185 Roma, Italy tel: +39 06 49937342 fax: +39 06 4404306 http://www.iac.rm.cnr.it/~danielad/

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Post-doc position in Statistics at University of Padua
by Sara Pillan 25 Jan '22

25 Jan '22

The Department of Statistical Sciences of the University of Padua is advertising a *Research Grant *for PhD graduates or graduates with a master’s degree in *Statistics*. The purpose of this research grant, which shall last for *16 months*, is to carry out research activity into developing statistical models for high dimensional data following approaches both frequentist and Bayesian. Often a large number of quantitative, qualitative or mixed variables are available and in dealing with them in statistical models requires attention to computational and statistical problems such as the curse of dimensionality. In many cases objective methods are required, but in many fields, e.g., marketing, sociological or biomedical analysis, subjective or a priori information is available, which can be included in the modeling and estimation procedures. The complete call is available at https://www.stat.unipd.it/assegno-di-ricerca-di-tipo-resp-scientifico-prof-… The call will expire on February 14th, 2022. The application may only be submitted by completing the online procedure available at https://pica.cineca.it/unipd/ Best regards, the administrative secretariat -- Research Office - Department of Statistical Sciences University of Padua Via Cesare Battisti 241 - 35121 Padova tel. +39 049 8274125 / +39 049 8274167 www.stat.unipd.it

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Position: Professor in risk management, financial mathematics, financial statistics or mathematical statistics (KU Leuven)
by Ilaria Prosdocimi 25 Jan '22

25 Jan '22

Inoltro su richiesta del dipartimento di Matematica della KU Leuven (Belgio): The Faculty of Science at KU Leuven (Belgium) invites applications for a full-time faculty position in the areas of risk management, financial mathematics, financial statistics or mathematical statistics. Candidates should hold a Ph.D. in mathematics or statistics, or an equivalent degree. Applicants are expected to develop research activities at the forefront of the international research community in one or more of the mentioned fields, and must demonstrate excellence in research and very good teaching skills. The rank of the appointment will depend on the applicant's research and teaching record. The deadline for applying is February 28, 2022. More info on https://www.kuleuven.be/personeel/jobsite/jobs/60076014?hl=en&lang=en.

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Seminario di Stefano Favaro, venerdì 28 gennaio ore 11:30 - 12:30
by Antonio Pievatolo 25 Jan '22

25 Jan '22

Annuncio di seminario online Stefano Favaro, Università di Torino e CNR-IMATI Learning-augmented count-min sketches via Bayesian nonparametrics ven 28 gen 2022 11:30 - 12:30 (CET) The count-min sketch (CMS) is a time and memory efficient randomized data structure that provides estimates of tokens’ frequencies in a data stream, i.e. point queries, based on randomly hashed data. Learning-augmented CMSs aim at improving the CMS by means of learning models that allow to better exploit data properties. We focus on the learning-augmented CMS of Cai, Mitzenmacher and Adams (NeurIPS, 2018), which relies on Bayesian nonparametric (BNP) modeling of a data stream via Dirichlet process (DP) priors; this is refereed to as the CMS-DP. We present a novel and rigorous approach of the CMS-DP, and we show that it allows to consider more general classes of nonparametric priors than the DP prior. We apply our approach to develop a novel learning-augmented CMS under power-law data streams, which relies on BNP modeling of the stream via Pitman-Yor process (PYP) priors; this is referred to as the CMS-PYP. Applications to synthetic data and real data show that the CMS-PYP outperforms both the CMS and CMS-DP in the estimation of low-frequency tokens; this is known to be a critical feature in natural language processing, where it is indeed common to encounter power-law data. Partecipa alla mia riunione da computer, tablet o smartphone. https://global.gotomeeting.com/join/148172789 Puoi accedere anche tramite telefono. (Per i dispositivi supportati, tocca un numero one-touch sotto per accedere immediatamente.) Italia: +39 0 230 57 81 80 - One-touch: tel:+390230578180,,148172789# Codice accesso: 148-172-789 È la prima volta che usi GoToMeeting? Scarica subito l'app e preparati all'inizio della tua prima riunione: https://global.gotomeeting.com/install/148172789 -- Dr Antonio Pievatolo CNR IMATI Phone: +39 02 23699 520 https://www.imati.cnr.it/mypage/people/PievatoloAntonio.htm

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PhD in Statistics & Computer Science @Bocconi - scadenza domande
by Antonio Lijoi 24 Jan '22

24 Jan '22

Care/i tutte/i, ricordo l'imminente scadenza dell'1 febbraio per la presentazione delle domande di ammissione al dottorato di ricerca in Statistics and Computer Science presso l'Università Bocconi (a.a. 2022-2023). Vi sarei grato se voleste portare all'attenzione di vostri studenti interessati l'annuncio riportato di seguito. Saluti, AL ******************* PhD in Statistics and Computer Science - a.y. 2022-2023 Call for applications for PhD student positions ******************* The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver. * Scholarship amount * 20,000 euros per annum Further funding may be available through teaching and research assistantship. Visit www.unibocconi.eu/admissionphd for detailed information. ** Applications are due by February 1, 2022 ** Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds. The curriculum is structured into two tracks: Statistics and Computer Science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged. The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Mathematical Analysis, Decision Theory, Statistical Physics and Machine Learning. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses. Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold, or be on their way to hold, a graduate degree or equivalent. For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel free to contact: Antonio Lijoi (antonio.lijoi(a)unibocconi.it) Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it)

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PhD position + Junior Lecturer positions in Mathematics at Vrije Universiteit Amsterdam
by Alessandro Zocca 24 Jan '22

24 Jan '22

Dear colleagues, The Vrije Universiteit Amsterdam is advertising two fixed-term positions for candidates who hold (or are about to complete) an MSc. One call is open for candidates interested in pursuing a PhD in Mathematics, and at the same time contributing to the educational program of the department. This fully-funded position is for 6 years (50% research, 40% teaching, 10% organisational activities) https://workingat.vu.nl/ad/phd-junior-lecturer-in-mathematics/m2mavn Note that this open position is not attached to any specific project, but candidates must discuss in advance topics with a perspective supervisor. I would be pleased to supervise students on a topic at the intersection of applied probability, stochastic optimization, and applications to complex networks (email me at a.zocca(a)vu.nl for further information). A second call is open for a junior lecturer position without a research component (100% teaching and organisational activities). This fully-funded position is for 4 years. https://workingat.vu.nl/ad/junior-lecturer-in-mathematics/7jq030 Both calls close on March 1st, 2022. Applications received by e-mail will not be processed. General enquiries on the calls can be sent to Daniele Avitabile: d.avitabile(a)vu.nl Best, Alessandro ================================= Alessandro Zocca (he/his) Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://alessandrozocca.github.io/

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Seminar Dr Moises Rodriguez Madrena - Roma Tre University
by Francesco Cesarone 24 Jan '22

24 Jan '22

Dear All, we are happy to invite you to the seminar of Dr. Moises Rodriguez Madrena (Universidad de Sevilla - Facultad de Matemáticas) that will take place on Thursday, January 27, 15:00-16:00. The seminar will be held in-person room 18 (Aula 18) of the Department of Business Studies of Roma Tre University (Via Silvio D'Amico, 77 00145 - Roma, Italy), and online via Teams. For security reasons, please send an email to francesco.cesarone(a)uniroma3.it<mailto:francesco.cesarone@uniroma3.it> if you want to attend the seminar in person. We are looking forward to seeing you! Francesco Cesarone ================================================================ Date and time: January 27 (Thursday), 15:00 pm Speaker: Dr. Moises Rodriguez Madrena (Universidad de Sevilla - Facultad de Matemáticas) Title: Location Problems: New Advances and Applications Abstract: Location problems are among the most important problems in the area of Operation Research. In general, a location problem consists of determining the position of one or more facilities to satisfy the demand of a set of demand points, such that some criteria (represented by objective functions) are optimized (minimize or maximize). In this seminar, we present two new location problems that arise from two different applied scopes. (1) In the literature of transportation research field, it is frequent to address routing or distribution problems where the movement between points is given by the combination of different transportation modes. For instance, movements within or outside an urban area could be different: within the city boundary the movement is slow due to the layout of the streets and traffic, while outside this boundary in the rural area the movement is fast. This situation can be modeled as regions endowed with different norms, where distances within the regions are the ones induced by the corresponding norm. In this framework, we address the single-facility Weber location problem considering different Lp-norms at different polyhedral regions. (2) Given a set of tradable assets, the classical portfolio selection problem consists in determining the amount of capital to be invested in each asset to build the most performing portfolio. A relatively recent promising strand of research is to exploit clustering information of an asset network to develop new portfolio optimization paradigms. Following this idea, we endow the asset network with a metric based on correlation coefficients between assets’ returns and show how classical location problems on networks can be used for clustering assets. More precisely, in the bi-objective (gain-risk) portfolio selection model, we add a third criterion which is represented by the objective function of the standard p-median location problem. In this way, we are able to evaluate the effect of different degrees of clustering on the selected portfolios. We tackle the above problems using Mathematical Programming tools (MISOCP and MILP formulations for the first and the second problems, respectively). The usefulness of our approach is validated by reporting some computational experiments. Venue: Room 18 (Aula 18) - Department of Business Studies - Roma Tre University - Via Silvio D'Amico, 77 00145 - Roma, Italy. Teams link: virtual room<https://teams.microsoft.com/l/meetup-join/19%3ameeting_Y2RlZjEzMmYtZGJmNi00…> ================================================================ F Cesarone (2020), Computational Finance. MATLAB oriented modeling, Routledge-Giappichelli Studies in Business and Management, ISBN 978-0-367-49303-5<https://www.giappichelli.it/computational-finance> For more info: http://host.uniroma3.it/docenti/cesarone/Books.htm -- Francesco Cesarone - Ph.D.<http:> Associate Professor Department of Business Studies Roma Tre University Via Silvio D'Amico, 77 00145 - Roma, Italy tel: +39 06 57335744 Skype: francesco.cesarone email: francesco.cesarone(a)uniroma3.it<mailto:francesco.cesarone@uniroma3.it> Studio n. 20 piano V WWW: http://host.uniroma3.it/docenti/cesarone/

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Fw: Job: ENSAI (Rennes, France) - Position in Computer Science and Machine Learning
by Simone Padoan 24 Jan '22

24 Jan '22

Ricevo e inoltro ________________________________ From: Gilles STUPFLER <gilles.stupfler(a)gmail.com> Sent: Sunday, January 23, 2022 16:07 To: Simone Padoan <simone.padoan(a)unibocconi.it> Subject: Job: ENSAI (Rennes, France) - Position in Computer Science and Machine Learning ENSAI, the French graduate-level engineering school specialized in Statistics, Data Science and Economics, is currently inviting applications for a position as Associate or Assistant Professor in Computer Science and Machine Learning. The appointment starts in September, 2022, at the earliest. At the level of Assistant Professor, the position is for an initial three-year term renewable for another three years before the tenure evaluation. At the level of Associate Professor, the position is tenured. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards. At the appointment, knowledge of French is not required but it is expected that the appointee will acquire a workable knowledge of French in a reasonable time. The school offers resources to learn French. Candidate Profile: PhD in Computer Science with an expertise in Machine Learning. ENSAI is involved in the EUR Digisport<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdigisport…> and the EUR CyberSchool<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcyberscho…>, so knowledge on related fields would be a plus. Applicants will have demonstrated strong ability to teach courses and supervise projects in Computer Science, up to Master level, to students with a major in Statistics. At the Associate Professor level, the candidate will have an outstanding research record and is expected to supervise PhD students. Applications (in French or in English) should be submitted by email to recruitment(a)ensai.fr<mailto:recruitment@ensai.fr> until April 19, 2022, with reference ENSAI/2022/CS1 as subject. Documents to include: * Curriculum vitae; * A statement of research and teaching interests (2-4 pages); * Names and addresses of three or more individuals willing to provide letters of reference. Contact persons: * Romaric Gaudel, Head of Computer Science dept. (romaric.gaudel(a)ensai.fr<mailto:romaric.gaudel@ensai.fr>; Tel. +33(0)299053330) * Valentin Patilea, Head of Research (valentin.patilea(a)ensai.fr<mailto:valentin.patilea@ensai.fr>; Tel. +33(0)299053325) * Stéphane Legleye, Head of graduate studies (stephane.legleye(a)ensai.fr<mailto:stephane.legleye@ensai.fr>; Tel. +33(0)299053322) Additional Information ENSAI (the French National School for Statistics and Data Analysis – Ecole Nationale de la Statistique et de l'Analyse de l'Information – www.ensai.fr<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ensai.…>) is a “Grande École”, which offers high level education in Statistics, Economics and Data Science. ENSAI offers several Master-level specializations as well as a PhD program in Statistics. ENSAI, together with ENSAE and Ecole Polytechnique in Paris region, share the research laboratory « Centre de Recherche en Economie et Statistique » (CREST – www.crest.fr<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.crest.…> – UMR CNRS 9194). The research activity of CREST at Ensai covers topics in Statistics, Economics and Data Science, in both theoretical and applied aspects. [https://ipmcdn.avast.com/images/icons/icon-envelope-tick-round-orange-anima…]<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.avast…> Garanti sans virus. www.avast.com<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.avast…>

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Postdoc presso École Polytechnique
by Giovanni Conforti 20 Jan '22

20 Jan '22

Cari colleghi, Segnalo l'apertura di una posizione di Post Doc della durata di 18 mesi presso l’Ecole Polytechnique (Parigi) nell'ambito del progetto ANR SPOT. Prendendo spunto dal problema di Schrödinger, i temi di ricerca affrontati dal progetto sono all'intersezione fra la teoria delle grandi deviazioni, il trasporto ottimo, il controllo stocastico mean field e le disuguaglianze funzionali. Per maggiori informazioni https://sites.google.com/site/giovanniconfort/spot?authuser=0 I potenziali interessati possono contattarmi direttamente all'indirizzo giovanni.conforti(a)polytechnique.edu. La data di inizio del contratto è flessibile. Cordiali saluti, Giovanni Conforti

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