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assegno di ricerca
by benedetta.ferrario 28 Dec '20

28 Dec '20

Buongiorno. Segnalo un bando per assegno di ricerca (annuale ma rinnovabile un secondo anno) presso il DIPARTIMENTO DI SCIENZE ECONOMICHE E AZIENDALI dell'Università di Pavia sul tema MATHEMATICAL METHODS FOR THE ANALYSIS OF FINANCIAL MARKETS Trovate qui il bando in inglese http://www-assegni.unipv.it/wp-content/uploads/2020/12/BANDO-PICA-A-FRG2020… e qui in italiano http://www-assegni.unipv.it/wp-content/uploads/2020/12/BANDO-PICA-A-FRG2020… Grazie. Auguri di buone feste Benedetta

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Assegni di ricerca biennali e annuali
by Faggionato, Alessandra 22 Dec '20

22 Dec '20

Buongiorno segnalo i seguenti bandi per assegni di ricerca annuali e biennali al Dipartimento di Matematica della Sapienza: https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/168015 https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/168016 Grazie Saluti Alessandra -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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TU Graz, open position in Discrete Mathematics and Probability
by Daniela Bertacchi 22 Dec '20

22 Dec '20

Inoltro a tutti gli interessati il seguente annuncio (la posizione è quella attualmente occupata da Wolfgang Woess). ******************************************************************************** Full professor "Discrete Mathematics and Probability", TU Graz TU Graz is looking to appoint a tenured full professor of Discrete Mathematics and Probability, starting October 2022. We are looking for a highly qualified individual of international standing who has an excellent research profile and is committed to represent the intersection of Discrete Mathematics and Probability in both teaching and research. For more information please see the web apge https://www.tugraz.at/go/professorships-vacancies. Applications must be sent to the email address bewerbungen.mpug(a)tugraz.at no later than March 31, 2021. --------------------------------------------------------------------- Johannes Wallner Tel (+43) 316 873 8440 Institut fuer Geometrie der TU Graz, Kopernikusgasse 24, 8010 Graz. j.wallner(a)tugraz.at http://www.geometrie.tugraz.at/wallner --------------------------------- ------------------------------------

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Webinar DAVID ROSSELL
by Pierpaolo De Blasi 17 Dec '20

17 Dec '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Joint initiative with MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network> Giovedi 17 Dicembre 2020, alle ore 17:00, si terrà il seguente webinar: ------------------------------------------------ Speaker: *David Rossell *(Universitat Pompeu Fabra, Barcelona, Spain) Title: *Approximate Laplace approximation* Zoom link: https://us02web.zoom.us/j/84312531120?pwd=VVJraStLVkR2M0w0ZXZnU3M0MFp2UT09 <https://us02web.zoom.us/j/88252069649?pwd=V2Z3b1UrZVVWNWZ4OXhydUtIakxpUT09> Meeting ID: 843 1253 1120 Passcode: 105560 Abstract: Bayesian model selection requires an integration exercise in order to assign posterior model probabilities to each candidate model. The computation becomes cumbersome when the integral has no closed-form, particularly when the sample size is large, or the number of models is large. We present a simple yet powerful idea based on the Laplace approximation (LA) to an integral. LA uses a quadratic Taylor expansion at the mode of the integrand and is typically quite accurate, but requires cumbersome likelihood evaluations (for large n) an optimization (for large p). We propose the approximate Laplace approximation (ALA), which uses an Taylor expansion at the null parameter value. ALA brings very significant speed-ups by avoiding optimizations altogether, and evaluating likelihoods via sufficient statistics. ALA is an approximate inference method equipped with strong model selection properties in the family of non-linear GLMs, attaining comparable rates to exact computation. When (inevitably) the model is misspecified the ALA rates can actually be faster than for exact computation, depending on the type of misspecification. We show examples in non-linear Gaussian regression with non-local priors, for which no closed-form integral exists, as well as non-linear logistic, Poisson and survival regression. ------------------------------------------------ Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats in collaborazione con il Collegio Carlo Alberto e rientra nel Complex Data Modeling Research Network midas.mat.uc.cl/network Cordiali saluti, Pierpaolo De Blasi --- University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Conferenza online "Giovani probabilisti" a S. Pietroburgo 21-23 dicembre
by Massimo Campanino 17 Dec '20

17 Dec '20

Conferenza online "Giovani probabilisti" a S. Pietroburgo 21-23 dicembre https://site.unibo.it/current-trends-in-mathematics/en/events/st-petersburg…

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Post-Doc and PhD positions at WIAS, Berlin
by Luisa Andreis 17 Dec '20

17 Dec '20

Dear colleagues, I’d like to draw your attention to the following open positions (one PhD and one Post-Doc) in Berlin. Please, feel free to forward this announcement to anyone who might be interested. "The Weierstrass Institute in Berlin (WIAS) invites applications for a two positions, one at post-doctoral level and one for a PhD student. Both positions are in the newly founded Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks” (Head: Dr. B. Jahnel); the positions are available immediately. The successful candidates will perform rigorous probabilistic and analytic mathematical work on dynamical spatial random geometric systems as models for future telecommunication networks, in collaboration with other group members and partners at WIAS, in industry and in academia. The research results shall be published in scientific journals and technical reports, and presented at conferences. The applicants must at a minimum hold a master’s degree in mathematics or related fields with high emphasis on probability. For the post-doctoral position a PhD in mathematics should be completed or very close to completion. Knowledge in statistical physics, interacting particle systems, or stochastic geometry will be important. Please direct scientific queries to Dr. B. Jahnel (Jahnel(a)wias-berlin.de <mailto:Jahnel@wias-berlin.de>). The appointment is initially limited for 24 months. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale. Please see the following links for more information and in order to apply: https://short.sg/j/8332092 <https://short.sg/j/8332092> (post-doc) and https://short.sg/j/8331747 <https://short.sg/j/8331747> (PhD). Please note that the deadline for applications is 31 December.” Best wishes, Luisa Andreis Post-Doc researcher WIAS-Weierstrass Institute Mohrenstrasse 39, 10117 Berlin, Germany Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home> Email: andreis(a)wias-berlin.de

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Assistant Professor positions in the Department of Statistics, Universidad Carlos III de Madrid
by Antonio DI CRESCENZO 16 Dec '20

16 Dec '20

Diffondo su richiesta del collega Bernardo D'Auria un annuncio di posti per: Assistant Professor positions (tenure-track) in the Department of Statistics, Universidad Carlos III de Madrid scadenza: 28 febbraio 2021 per dettagli: http://halweb.uc3m.es/seminarios/conv-tenure-track.pdf Cordiali saluti ============================================= Antonio Di Crescenzo Dipartimento di Matematica Università degli Studi di Salerno Via Giovanni Paolo II, n. 132 <https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…> 84084 Fisciano (SA) Italy Tel. +39-089-963349 E-mail(1): adicrescenzo(a)unisa.it E-mail(2): adicresc(a)gmail.com Web: http://www.unisa.it/docenti/antoniodicrescenzo/index Skype: antoniodicrescenzo =============================================

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Assistant Professor (3-year contract) position at DCU
by Paolo Guasoni 16 Dec '20

16 Dec '20

Dear Colleague, Dublin City University has a Assistant Professor (3-year contract) position in Mathematics: https://www.dcu.ie/sites/default/files/inline-files/bc0610-fsh-hci-assistan… The closing date for the application is January 6, 2021. With best regards, Paolo Guasoni -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DublinCityUni> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Fwd: Postdoctoral position in Probability at the University of Bath
by Silvestri, Vittoria 15 Dec '20

15 Dec '20

Segnalo con piacere questa opportunità di postdoc a Bath. Vittoria ---------- Forwarded message --------- Da: Daniel Kious <dk746(a)bath.ac.uk> Date: lun 14 dic 2020 alle ore 23:11 Subject: Postdoctoral position in Probability at the University of Bath To: d.kious(a)bath.ac.uk < IMCEAEMAIL-+20d+2Ekious+40bath+2Eac+2Euk(a)gbrp265.prod.outlook.com> Dear Colleagues and Friends, I would greatly appreciate if you could bring the following announcement to the attention of the relevant applicants. A postdoctoral position in Probability is open at the University of Bath. The position is for two years, starting 1 July 2021, and the successful applicant will work with Dr Daniel Kious, on topics related to random walks and random environments. Please, find the full announcement at the end of this email. Applications are open and the deadline is 11 January 2021, see: https://www.bath.ac.uk/jobs/CC8004 In order to have the best chances, the applicants should provide the following: -an updated CV; -a list of publications; -a short research statement; -the names of two referees who agreed to write a letter of support, and one of them must be the current employer or a past employer. Best wishes, Daniel Kious. -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ - A postdoctoral research position is available in the area of probability to start 1 July 2021. The position is available for 2 years and is funded by the EPSRC grant "Random walks in dynamic random environment" of Daniel Kious. You will be associated with the probability laboratory (Prob-L@B <https://www.bath.ac.uk/research-centres/probability-laboratory-at-bath/>) of the Department of Mathematical Sciences <https://www.bath.ac.uk/departments/department-of-mathematical-sciences/> at the University of Bath. Prob-L@B is one of the largest probability group in the UK and benefits from a very active and collaborative team, with expertise covering many areas of Probability, cultivating a high-level and friendly atmosphere. The successful applicant will be expected not only to work on the project, but also to interact with the other members of Prob-L@B. The area of research will be centred on the mathematical analysis of random walks in random environment or dynamic random environment, reinforced random walks or other processes with reinforcement, percolation, spin systems. The ideal candidate is expected to have a strong background in discrete probability theory, and have (or expect to obtain shortly) a PhD in Probability, or related areas. Our campus is surrounded by beautiful countryside, and the City of Bath with its historic charm and social activity only a short distance away creates an excellent environment in which to work. We encourage all staff to learn, develop new skills and progress their careers throughout their employment with us and believe our staff <https://www.bath.ac.uk/jobs/display.aspx?id=1091&pid=221#section3> are vital in creating the University’s inclusive and innovative community. We are committed to providing a family friendly workplace <https://www.bath.ac.uk/campaigns/family-friendly-workplace/> and our staff have access to a number of services that promote wellbeing <https://www.bath.ac.uk/topics/wellbeing/> and improve work-life balance. We recognise the commitment, achievements and talents of our workforce through our offering of initiatives and benefits <https://www.bath.ac.uk/professional-services/pay-and-reward>, including (but not limited to): - Generous employer pension contributions - 39 days holiday (annual leave, discretionary days and bank holidays) - A flexible working environment - A commitment to personal and professional development - Ofsted outstanding rated onsite nursery - Salary exchange scheme (cycle to work) - Onsite private and NHS dentist, onsite medical centre - Employee discount scheme We aim to be an inclusive university, where *difference is celebrated*, respected and encouraged. We truly believe that diversity of experience, perspectives, and backgrounds leads to a better environment for our employees and students, creating a learning environment and organisational *culture that enhances **health and wellbeing* <https://www.bath.ac.uk/topics/wellbeing/> across our community. We are very proud to have recently received Ambassadors for Autism certification <https://www.bath.ac.uk/announcements/university-receives-ambassadors-for-au…> and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff <http://www.bath.ac.uk/hr/working/disability-support/index.html>. -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ - Dr Daniel Kious University of Bath - Prob-L@b email: d.kious(a)bath.ac.uk Office: 6 West 1.23 Phone: 01225 38 6186 ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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Webinar of Prof. Hinz at UNIBS, Department of Economics and Management (fwd)
by Tiziano Vargiolu 14 Dec '20

14 Dec '20

---------- Forwarded message ---------- Date: Mon, 14 Dec 2020 00:41:25 +0100 From: Pelizzari Cristian <cristian.pelizzari(a)unibs.it> To: Tiziano Vargiolu <vargiolu(a)math.unipd.it> Subject: Webinar of Prof. Hinz at UNIBS, Department of Economics and Management Ciao Tiziano, ti chiedo la cortesia di diffondere questo avviso di seminario ai tuoi canali. Ho gi? spedito questa e-mail al Segretario Generale dell'A.M.A.S.E.S.. Mi scuso per la scadenza ravvicinata. Grazie e a presto, Cristian *** Dear Colleagues, on December 17th, 2020 - 11:30 (CET), as part of the Research Seminars at the Department of Economics and Management, University of Brescia, the following webinar will take place: On Optimal Planning of Double-Spending Attacks presented by Prof. Juri Hinz, University of Technology Sydney, and organized by Prof. Paolo Falbo and Prof. Cristian Pelizzari Abstract Diverse concepts originating from the blockchain idea have gained popularity. However, there is concern about stability of such systems. In this setting, an attempt to spend the digital funds more than once (the so-called double-spending attack) has been analyzed by several authors. The present contribution addresses a refinement to this problem under realistic assumptions. Live presentation on: Google Meet. To participate, registration is required by filling out the following form: https://docs.google.com/forms/d/e/1FAIpQLSd3_vL6Rzi7rNf7FiburuLBjC1cc32oA4U SHdQDaivS9_cB5w/viewform Subscribers will be e-mailed the link to the webinar meeting. *** -- Associate Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences Department of Economics and Management University of Brescia Contrada S. Chiara, 50 25122 BRESCIA BS ITALY E-mail cristian.pelizzari(a)unibs.it Tel. 0039-030-2988516 Microsoft Teams contact Informativa sulla Privacy: http://www.unibs.it/node/8155

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