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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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Ricercatore RTDb Mat/06
by Franco Flandoli 20 Jan '22

20 Jan '22

Segnalo il bando per una posizione RTDb Mat/06 presso l'Università di Macerata, con scadenza 17 febbraio 2022. Il bando è disponibile alla pagina https://www.gazzettaufficiale.it/atto/concorsi/caricaDettaglioAtto/originar… Franco Flandoli

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Ricercatore RTDb 01/A3 a Pisa
by Marco Romito 20 Jan '22

20 Jan '22

Scrivo per annunciare il bando per una posizione RTDb nel settore concorsuale 01/A3 (Analisi e Probabilità) presso il Dipartimento di Matematica dell'Università di Pisa, con scadenza il 14 febbraio 2022. Il bando è disponibile alla pagina https://bandi.unipi.it/public/Bandi/Detail/71b2f556-3d72-4254-b6cb-cec05d07… Indicazioni per coloro che hanno conseguito il dottorato all'estero sono disponibili alla pagina https://www.unipi.it/ateneo/bandi/ricercat/ricercator1/Ricercator/index.htm ------------------------------------------ dear all I would like to announce a tenure track researcher position (RTDb) in Analysis or Probability at the University of Pisa. The deadline is on February 14. The official call is available at the URL https://bandi.unipi.it/public/Bandi/Detail/71b2f556-3d72-4254-b6cb-cec05d07… The university has made guidelines available for those that have not got their Ph.D. in Italy (in italian, unfortunately), https://www.unipi.it/ateneo/bandi/ricercat/ricercator1/Ricercator/index.htm m.

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Fwd: Bandi di Concorso Ricercatore INdAM
by Marco Romito 20 Jan '22

20 Jan '22

-------- Forwarded Message -------- Cari Colleghi, vi informo che nella G.U. del 18 gennaio 2022 sono stati pubblicati gli avvisi di due bandidi Concorso Pubblico per Titoli ed Esami per l'assunzione di un Ricercatore a TempoIndeterminato, III Livello professionale, presso l'Istituto Nazionale di Alta Matematica “F. Severi”. Per ambedue i bandi la scadenza per la presentazione delle domande è il giorno**17 febbraio 2022*.* Bandi e moduli per la procedura on-line per la presentazione delle domande si trovano nella pagina web: https://www.altamatematica.it/<https://www.altamatematica.it/> Cordiali saluti, Giorgio Patrizio *//*

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Bernoulli Society New Research Award 2023
by Imma Curato 20 Jan '22

20 Jan '22

Cari colleghi, vorrei segnalarvi il seguente premio per giovani ricercatori in Matematica Statistica sponsorizzato dalla Bernoulli Society, con preghiera di diffusione a giovani assegnisti e post-doc. Cordiali Saluti Imma Curato ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Bernoulli Society New Researcher Award 2023 The Bernoulli Society welcomes applications to the New Researcher Award 2023. Each awardee shall deliver a talk at a special invited session during the ISI World Statistics Congress Conference to be held in Ottawa, Canada, July 15-20, 2023, and will receive a funding up to 1000€ to offset travel and other expenses. Bernoulli News will publish their pictures and a paragraph about their work. Eligible candidates are active researchers in Mathematical Statistics who obtained the Ph.D. degree on or after March 15th, 2017, and who are regular members of the Bernoulli Society. An extension may be given to those having had disruptions after receiving the Ph.D., such as parenthood. Candidates should apply through the webform https://forms.gle/yQg8F6fDx7qLLCAMA and send the required documents to the e-mail address indicated in the form. Deadline: March 15th, 2022

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Competition UNIPhD "Training the next-generation talents" 2022/2023 | Call deadline: 8/3/2022 h. 13.00
by Tiziano Vargiolu 17 Jan '22

17 Jan '22

Please circulate this email to all those who can be interested. Please notice among the options: - PhD course: Mathematical Sciences - Research Topic: Nonlinear differential equations and stochastic models - Research Option: Mathematical Finance (#4, see https://www.unipd.it/en/sites/en.unipd.it/files/Mathematical_A.pdf for a precise description) ---------- Forwarded message ---------- Date: Fri, 14 Jan 2022 15:12:13 +0100 From: Msca Cofund <msca.cofund(a)unipd.it> Doctoral Programme ?UNIPhD - Training the next-generation talents? at the University of Padua (Italy), Academic Year 2022/23 | Call deadline 8 March 2022 -- We are pleased to inform you that the University of Padua (Italy) has published the global call for applications "UNIPhD - Eight century legacy of multidisciplinary research and training for the next-generation talents? (closing date: 8 March 2022). This PhD Programme targets the most promising Early Stage Researchers (ESRs) coming to the University of Padua from all over the world to pursue a brand new International, Intersectoral, Interdisciplinary and Innovative ?training through research? experience. UNIPhD involves 25 PhD-Courses covering all research domains. 50 full time fellowships are on offer. Each fellowship is associated to a research topic, that is a framework within which every applicant has to propose an original research project in collaboration with a Supervisor at the University of Padua. Selected ESRs benefit from very attractive employment conditions and will be recruited through a 3-year contract starting 1 October 2022. At the date of the call deadline, applicants must be eligible for PhD studies in Italy and meet the following criteria: Mobility. Candidates should not have resided or carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years before the call deadline. Qualification. Applicants should hold a Master?s degree or another academic qualification recognized as equivalent to a second cycle degree, obtained by and no later than 30 September 2022. Early Stage. Applicants should not have already been awarded a doctoral degree and must be in their first 4 years (or full-time equivalent) of research experience. For further information go to the call website: https://www.unipd.it/en/uniphd (in English). Online applications must be submitted by 8 March 2022 at 1:00 p.m. We would really appreciate if you could circulate the call among young researchers and potential candidates. Any further clarification requests can be addressed to the University of Padua: msca.cofund(a)unipd.it. *** -- UNIPhD Management Team International Research Office & PhD Office University of Padua The content of this email is confidential and intended for the recipient specified in the message only. If you received this message by mistake, do not disseminate, copy, use, disclose or take any action or reliance on it. Please reply to this message and follow with its deletion, so that we can ensure such a mistake does not occur in the future.

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Padova Seminars in Probability and Finance - Christoph Thaele (University of Bochum, Germany)
by Marco Formentin 17 Jan '22

17 Jan '22

Dear Colleagues, we would like to invite you to the following seminar that will take place on January 28 at 14.30. The seminar will be held online via the Zoom platform. ________________________________________________________ Speaker: Christoph Thaele (University of Bochum, Germany)  Title: Poisson hyperplanes in hyperbolic space  JANUARY 28 (Friday) - 14:30 Zoom link https://unipd.zoom.us/j/88182977183 (meeting ID 881 8297 7183), available also on the webpage https://www.math.unipd.it/~bianchi/seminari/ Abstract: In the focus of this talk are random tessellations in hyperbolic space induced by Poisson point processes on the space of hyperbolic hyperplanes (totally geodesic subspaces of co-dimension 1). In the first part of the talk we consider the so-called k-skeleton of such tessellations and prove that, when observed in a sequence of increasing observation windows, the k-volume of the k-skeleton satisfies a central limit theorem only for dimensions 2 and 3 and that asymptotic normality fails in all higher dimensions. In the second part of the talk we determine the non-Gaussian limiting distribution for the special case k=d-1 and indicate possible generalizations. On behalf of the organizers, Marco Formentin

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Seminario di Daniela Bertacchi, 20.1.2022, 11:00
by Francesco Caravenna 16 Jan '22

16 Jan '22

Ricevo e inoltro. > ---------- Forwarded message ---------- > From: "fosp(a)math.tugraz.at" <fosp(a)math.tugraz.at> > Subject: [fosp-announce] Strukturtheorie-Seminar: Donnerstag, 20.1.2022, > 11:00 s.t. > Resent-From: <woess(a)tugraz.at> > > Vortragende(r): Prof. Daniela Bertacchi > > Herkunft: Univ. Milano-Bicocca > > Titel: An epidemic model in inhomogeneous environment > > Zeit: Donnerstag, 20.1.2022, 11:00 s.t. > > Ort: Webex meeting > > We consider a SIR model on the complete graph with n nodes. Each vertex represents an individual which may be susceptible, infected or removed. At the beginning only one node is infected and each node $x$ has a random spread capacity $L_x$. Once infected, the node $x$ becomes an emitter and has $L_x$ attempts to infect other nodes, which are randomly chosen. If the attempt is towards a susceptible node $y$, then $y$ becomes infected, if it is towards an infected or removed node, then $x$ loses an infection attempt. > When $x$ has used all its spread capacity, it becomes removed and no longer interacts with the rest of the population. This model was studied by Comets et al. in the case where the spread capacities are i.i.d. and the nodes which one attempt to infect are chosen uniformly. > We study the case where the population is divided into J types and each type has a possibly different susceptibility, that is, some individuals have a larger probability of being chosen as targets. Also the law of the spread capacity may depend on the type. We obtain a law of large numbers and a central limit theorem for the duration of the process and the proportion of infected nodes. We prove that when the spread capacity is homogeneous, then a population with inhomogeneous susceptibility is overall less affected by the epidemics than a population with homogeneous susceptibility. > > This is joint work with J.Kampf, E.Sava-Huss and F.Zucca. > > > Webex meeting, meeting link: > > {https://tugraz.webex.com/tugraz-de/j.php?MTID=mfb7a477bc53fac8b0a6db53cf1f2690e} > > Meeting number: 2734 226 6767 > > Password: Je3q3w37mJG > > The meeting opens at 10:40, the 50min talk starts at 11:00 > > Organisator/in: W. Woess > > Institut für Diskrete Mathematik

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