May 2019 - Random - Mailing list — Dipartimento di Matematica, UniPI

Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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Seminario KOLOKOLTSOV @ UniTo
by Cristina Zucca 14 Oct '19

14 Oct '19

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* Martedì 17 Aprile 2018 alle ore 15:00 in Aula Marro presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, Il Prof. *VASSILI KOLOKOLTSOV* terrà un seminario dal titolo *Recent developments in probabilistic and analytic methods for fractional differential equations * Abstract: We shall discuss recent achievements in solving fractional differential equations and their extensions arising from generalized fractional calculus. Probabilistic techniques will be derived from the notion of Markov processes interrupted on the attempt to cross the boundary. Analytic techniques will cover generalized operator-valued Mittag-Leffler functions and chronological Feynman-Kac formulas. Tutti gli interessati sono invitati a partecipare. -- Dr. Cristina Zucca Department of Mathematics University of Torino Via Carlo Alberto 10 10123 Torino, Italy tel: +39-011-6702850 fax: +39-011-6702878

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Bando RTD A - SECS S06 Metodi matematici dell'economia e delle scienze attuariali e finanziarie - Università di FIRENZE
by Maria Elvira Mancino 07 Jun '19

07 Jun '19

Bando Ricercatore art. 24, comma 3, lett. a) Decreto rettorale, 17 aprile 2019, n. 476 (prot. 71903) pubblicato all'Albo Ufficiale (n. 5533) dal 15 maggio al 13 giugno 2019 Avviso pubblicato in G.U. - 4° Serie Speciale – Concorsi ed esami, n. 38 del 14 maggio 2019 scadenza per la presentazione delle domande: 13 giugno 2019 13/D4 - Metodi matematici dell'economia e delle scienze attuariali e finanziarie Settore scientifico disciplinare SECS-S/06 https://www.unifi.it/cmpro-v-p-11560.html

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seminario Georg Pflug in Bicocca
by Fabio Bellini 31 May '19

31 May '19

Il giorno giovedì 6 giugno alle ore 10.30 presso la Aula Seminari 4026 del DISMEQ, al IV piano dell'edificio U7, il prof. Georg Pflug della Università di Vienna terrà un seminario su Model uncertainty in option pricing: challenging the Black-Scholes formula Abstract It is well known that the validity of the Black-Scholes (BS) formula is restricted to the case, when the Market model is a geometric Brownian motion and therefore admits only one Martingale measure. We consider the situation, when the decision is made on the basis of an acceptability measure (the dual of a risk measure) and the market model is not exactly known, but it is known that it belongs to some ambiguity set of models. We demonstrate that in this case a nonzero bid-ask spread appears, even if the market model is close to the BS model. The bid-ask spread increases with the degree of model uncertainty, but decreases with the acceptability level. The results are based on a duality theorem for ambiguous decisions. Tutti gli interessati sono invitati a partecipare. -- Prof. Fabio Bellini Department of Statistics and Quantitative Methods University of Milano-Bicocca Via Bicocca degli Arcimboldi 8, 20126 Milano 0039-2-64483119 http://scholar.google.it/citations?user=P61L8P4AAAAJ&hl=it

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Corso in Trasferimento delle Tecnologie Matematiche per l'Innovazione
by Maurizio Ceseri 31 May '19

31 May '19

A tutti gli interessati segnaliamo che lo Sportello Matematico per l’Innovazione e le Imprese <https://www.sportellomatematico.it/SMII/> sta organizzando un corso in Trasferimento delle Tecnologie Matematiche che avrà luogo in modalità intensiva durante cinque giornate dal 29 luglio al 2 agosto 2019 presso l’Istituto per le Applicazioni del Calcolo del CNR. Il corso è rivolto principalmente a giovani laureati in Scienze Matematiche e Fisiche, Ingegneria, Economia, Informatica e Statistica, con l’obiettivo di formare la figura professionale dell’Esperto in Trasferimento delle Scienze e Tecnologie Matematiche per l’Innovazione (in breve: Traduttore Tecnologico). Tale figura nasce per facilitare la comunicazione e promuovere collaborazioni tra imprese e centri di ricerca. Grazie alla sua formazione interdisciplinare, il Traduttore Tecnologico è in grado di abilitare un numero crescente di collaborazioni volte ad apportare benefici tangibili alle imprese e facilitare l’incontro e l’intermediazione tra i bisogni tecnologici delle PMI e le competenze nelle Scienze e Tecnologie Matematiche disponibili nel sistema della ricerca pubblica e privata, attraverso la mediazione e lo scambio continuo tra i diversi stakeholder. Il corso è gratuito. Il numero massimo di partecipanti è 20, selezionati sulla base del curriculum, di una lettera di autopresentazione e di un colloquio motivazionale. Le domande di partecipazione possono essere presentate entro il 30 Giugno 2019. Invitiamo a presentare domanda anche chi, alla data del 30 Giugno, non possieda la laurea, ma discuterà la tesi entro l’inizio del corso. Data e luogo dei colloqui per la selezione verranno comunicati dopo la scadenza. Per informazioni: www.corsotraduttoretecnologico.it <https://maurizio-ceseri-dot-yamm-track.appspot.com/Redirect?ukey=1pkvocDW8g…> info(a)sportellomatematico.it 0649937369/59 Per ulteriori informazioni non esitare a contattarci, Grazie in anticipo per la collaborazione, Il Team dello Sportello Matematico CONTENUTI DEL CORSO Tecnologie Matematiche: cosa sono, come vengono applicate nelle imprese, tendenze del mercato della Ricerca e Innovazione, Prototipazione Virtuale e Digital Twinning. Trasferimento Tecnologico: contesto italiano ed internazionale, settori industriali, esperienze di successo e strategie di comunicazione. Gestione dell'Innovazione: concetti, fonti, forme, modelli ed ecosistemi dell'innovazione, Open Innovation e rapporto con la Proprietà Intellettuale Sistemi di Supporto alle Decisioni e Ricerca Operativa: abilitare il potenziale delle Tecnologie Matematiche nel Management. Attori e Strutture Organizzative: Best practices, il ruolo dello Sportello Matematico in Italia ed in Europa. SBOCCHI E OPPORTUNITÀ PROFESSIONALI Area Ricerca e Innovazione presso imprese manifatturiere e di servizi Trasferimento Tecnologico e Valorizzazione della Ricerca presso Università e Centri di Ricerca Tirocini formativi presso il progetto Sportello Matematico (IAC-CNR) Partecipazione a Progetti Europei (H2020) su Tecnologie Matematiche per l’Innovazione Maurizio Ceseri Sportello Matematico per l'Industria Italiana Istituto per le Applicazioni del Calcolo (IAC-CNR) via dei Taurini 19, 00185 Roma (Italy) Tel: (+39) 0649937369 Website: sportellomatematico.it

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Open post-doc position at Géoazur in collaboration with Inria, at Sophia Antipolis, France
by Marco Romito 29 May '19

29 May '19

---------------------------------------------------------------------------------------------------------------------------------- /Open post-doc position at Géoazur in collaboration with Inria, at Sophia Antipolis, France, in the research area: Curvilinear network detection on satellite images using AI, stochastic models and deep learning. // //// //Submission deadline June 30th, 2019 // /---------------------------------------------------------------------------------------------------------------------------------- Open Position for a post-doc scientist at Géoazur (https://geoazur.oca.eu/fr/acc-geoazur) in collaboration with Inria (https://www.inria.fr/en/centre/sophia) at Sophia Antipolis (Nice region), France, in the area of Computer Vision, Deep Learning and Remote Sensing applied to curvilinear detection on both optical and SAR satellite images (project abstract below). Both Geoazur and Inria Sophia Antipolis are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe (ie. Sophia-Antipolis, see https://en.wikipedia.org/wiki/Sophia_Antipolis) This position is funded by University Côte d'Azur (UCA, see http://univ-cotedazur.fr/en#.XOforoWTpT4) Duration: 18 months Starting date: between september 1st and November 1st 2019. Salary: gross salary per month 3000 EUR (ie. approximately 2400 EUR net) Please see full announcement https://faultsrgems.oca.eu/images/FAULT/News/Post-doc_offer-AI-ManighettiZe…, or onhttps://euraxess.ec.europa.eu/jobs/411481 *Candidate profile* Strong academic backgrounds in Stochastic Modeling, Deep Learning, Computer Vision, Remote Sensing and Parallel Programming with GPUs and/or multicore CPUs. A decent knowledge of Earth and telluric features (especially faults) will be appreciated. To apply, please email a full application to both Isabelle Manighetti (manighetti(a)geoazur.unice.fr) and Josiane Zerubia (josiane.Zerubia(a)inria.fr) indicating “UCA-AI-post-doc” in the e-mail subject. The application should contain: * a motivation letter demonstrating motivation, academic strengths and related experience to this position. * CV including publication list * at least two major publications in pdf * minimum 2 reference letters *Project abstract* Curvilinear structure networks are widespread in both nature and anthropogenic systems, ranging from angiography, earth and environment sciences, to biology and anthropogenic activities. Recovering the existence and architecture of these curvilinear networks is an essential and fundamental task in all the related domains. At present, there has been an explosion of image data documenting these curvilinear structure networks. Therefore, it is of upmost importance to develop numerical approaches that may assist us efficiently to automatically extract curvilinear networks from image data. In recent years, a bulk of works have been proposed to extract curvilinear networks. However, automated and high-quality curvilinear network extraction is still a challenging task nowadays. This is mainly due to the network shape complexity, low-contrast in images, and high annotation cost for training data. To address the problems aroused by these difficulties, this project intends to develop a novel, minimally-supervised curvilinear network extraction method by combining deep neural networks with active learning, where the deep neural networks are employed to automatically learn hierarchical and data-driven features of curvilinear networks, and the active learning is exploited to achieve high-quality extraction using as few annotations as possible. Furthermore, composite and hierarchical heuristic rules will be designed to constrain the geometry of curvilinear structures and guide the curvilinear graph growing. The proposed approach will be tested and validated on extraction of tectonic fractures and faults from a dense collection of satellite and aerial data and “ground truth” available at the Géoazur laboratory in the framework of the Faults_R_Gems project co-funded by the University Côte d’Azur (UCA) and the French National Research Agency (ANR). Then we intend to apply the new automatic extraction approaches to other scenarios, as road extraction in remote sensing images of the Nice region, and blood vessel extraction in available medical image databases. phone: +33 4 92 38 78 65, fax: +33 4 92 38 78 58 email: Josiane.Zerubia(a)inria.fr web: http://www-sop.inria.fr/members/Josiane.Zerubia/index-eng.html -- Josiane Zerubia INRIA Sophia-Antipolis Méditerranée BP 93, 2004 Route des Lucioles 06902 Sophia-Antipolis Cedex - France

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PhD position in Madrid
by Alessandra Micheletti 29 May '19

29 May '19

Ricevo ed inoltro questa informazione, scusandomi per invii multipli -------------------- Applications are invited for a PhD position in applied mathematics at the Department of Mathematics of the Universidad Carlos III de Madrid (UC3M): - Application deadline *June 16**th**, 2019* - Starting on September 1st, 2019 (or as soon as possible thereafter) - Gross annual salary 15540 € (initial) - One year contract, extensible to up to 3 years and a half. The PhD project consists in developing novel algorithms for Probabilistic (aka Stochastic) Domain Decomposition (PDD), as well as helping in the coding of a C++/MPI library for PDD. The work load of the selected candidate will be equally split between both tasks. The ultimate goal is to produce a large-scale proof of concept of the method and compete for the Gordon Bell Prize for Parallel Computing. There is also the possibility of teaching at the Engineering School of UC3M. This area of research lies in the overlap of stochastic calculus, numerical methods for PDEs, high-performance parallel computing and scientific software development. Candidates are expected to have a background in applied mathematics (specially PDEs and numerics), as well as in scientific programming. Knowledge of stochastic processes, experience in C++, Matlab and MPI, and/or previous research experience in applied maths are a definite plus. The selected candidate will be supervised during her/his PhD by Dr. Francisco Bernal. PhD is expected to take 3-4 years, and it is funded by the Talento Program of the Madrid Regional Government (Project 2018-T1/TIC-10914). Selection will take place based on academic excellence and suitability for the PhD position. Minimum qualifications are: an official university degree in Maths, Statistics, Physics, Computer Science or Engineering with at least 300 ECTS credits, and being fluent in spoken and written English (Spanish is a plus). Candidates must first be admitted in the PhD Program in Mathematical Enginnering <https://www.uc3m.es/ss/Satellite/Doctorado/en/Detalle/Estudio_C/14225881640…>, see full requirements below <https://www.uc3m.es/ss/Satellite/Doctorado/en/Detalle/Estudio_C/14225881640…> : https://www.uc3m.es/ss/Satellite/Doctorado/en/Detalle/Estudio_C/14225881640… This PhD Program sports an official quality distinction. UC3M is one of the leading Spanish public universities in a modern campus on the outskirts of Madrid; the Department of Mathematics hosts two thirds of the current Spanish SIAM Fellows. Applications are to be handled online below <http://portal.uc3m.es/portal/page/portal/inicio/universidad/empleo_universi…> (Ref. I01-1920): *http://portal.uc3m.es/portal/page/portal/inicio/universidad/empleo_universidad/personal_docente_e_investigador/contratos_predoc_proy_inv* <http://portal.uc3m.es/portal/page/portal/inicio/universidad/empleo_universi…> (Try flushing the cache or changing the browser if link does not load). Please write to franciscomanuel.bernal(a)uc3m.es for further inquiries or expression of interest (note the pending deadline). -- Francisco Bernal Universidad Carlos III de Madrid -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics Dept. of Environmental Science and Policy - ESP Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 http://users.mat.unimi.it/users/michel <http://www.mat.unimi.it/users/michel>

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Seminario Vlad Bally a Roma Tor Vergata
by Anna Vidotto 28 May '19

28 May '19

Dear all, I would like to announce the following talk that will be held on Friday June 7th 2019, at 4:30 PM, in Aula D’Antoni (1101) of the Department of Mathematics, University of Rome Tor Vergata. Speaker: Vlad Bally (Université Paris-Est Marne-la-Vallée) Title: Convergence in Distribution Norms in the CLT and Application to Trigonometric Polynomials Abstract: Under some regularity condition on the random variables at hand, we prove convergence in distribution norms in the CLT and we also derive some local developments (Edgeworth expansions). We use these results in order to study the asymptotic behavior of the number of roots of trigonometric polynomials with random coefficients. — This talk is part of the activity of the MIUR Excellence Department Project CUP E83C18000100006 — Kind regards, Anna Vidotto --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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scuola di Ravello
by Marco Alessandro Fuhrman 27 May '19

27 May '19

A tutti gli interessati. Segnalo il sito internet http://www.dm.unibo.it/~ruggeri/Ravello_2019.html sulla Scuola di Fisica Matematica di Ravello. Molti argomenti sono di interesse per la nostra comunità scientifica. Cordiali saluti. Marco Fuhrman <signaturebeforequotedtext></signaturebeforequotedtext><signatureafterquotedtext></signatureafterquotedtext> -- Il tuo 5 x mille progetti Sostieni la ricerca, investi sul futuro dei giovani Universita` degli Studi di Milano - codice fiscale 80012650158

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School on "Mathematical and Computational Aspects of Machine Learning" at Scuola Normale Superiore (Pisa)
by Fabrizio Lillo 27 May '19

27 May '19

The School on "Mathematical and Computational Aspects of Machine Learning" will take place at the Centro di Ricerca Matematica Ennio the Giorgi, Scuola Normale Superiore (Pisa) from October 7 to October 11, 2019. The call for registration and other information are available at http://crm.sns.it/event/451/ Deadline for registration: 31st August 2019. *Courses* The programme includes 5 minicourses of 6 hours each. - Jean Barbier (ICTP Trieste): Mean field theory of high-dimensional Bayesian inference - Philipp Grohs (University of Vienna): Approximation theory, Numerical Analysis and Deep Learning - Gabriel Peyré (ENS and CNRS, Paris): Optimal Transport for Data Science - Lars Ruthotto (Emory University): Numerical Methods for Deep Learning - Stefano Soatto (with Alessandro Achille) (UCLA): Representation Learning *Short communications* The programme will include also up to 12 short communications of 20 minutes each. When registering, each prospective participant who wishes to deliver a short communication is invited to submit the title and abstract of his/her talk together with a reference letter of his/her advisor or post-doc mentor. The reference letter should be sent directly by the letter writer by e-mail to: crm(a)crm.sns.it Deadline for application: 31st July 2019. *The Scientific Committee* Luigi Ambrosio (Scuola Normale Superiore) Michele Benzi (Scuola Normale Superiore) Pierluigi Contucci (Università di Bologna) Fabrizio Lillo (Università di Bologna) ---------------------------------------- Fabrizio Lillo Dipartimento di Matematica Università di Bologna ITALY Personal website: fabriziolillo.wordpress.com University website: www.unibo.it/sitoweb/fabrizio.lillo <http://fabriziolillo.wordpress.com/> phone: +39 050509159

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