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Seminario di Probabilita' a Roma Tre martedi 11-06-19
by Pietro Caputo 07 Jun '19

07 Jun '19

Speaker: Alexandre Gaudilliere (CNRS Marseille, France) Martedi' 11 Giugno 2019 ORE 14:30 Dipartimento di Matematica e Fisica Universita' degli Studi Roma Tre Largo San Leonardo Murialdo,1 - Pal.C - Aula 211 Titolo: Random forests and Markovian spectra Abstract: Starting from a theorem of Michelli and Willoughby we will see how some loop-erased random walk make a bridge between the spanning forest of a graph and the spectrum of its Laplacian. We will give more examples of the links between these two sets, introducing in particular a fragmentation and coalescence process that allows for the study of this spectrum from a probabilistic point of view.

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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 GHOSHAL
by Matteo Ruggiero 07 Jun '19

07 Jun '19

STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO Venerdì 14 Giugno 2019, alle ore 12:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Subhashis GHOSHAL (North Carolina State University) POSTERIOR CONTRACTION AND CREDIBLE SETS FOR FILAMENTS OF REGRESSION FUNCTIONS The filament of a smooth function f consists of local maximizers of f when moving in a certain direction. The filament is an important geometrical feature of the surface of the graph of a function. It is also considered as an important lower dimensional summary in analyzing multivariate data. There have been some recent theoretical studies on estimating filaments of a density function using a nonparametric kernel density estimator. In this talk, we consider a Bayesian approach and concentrate on the nonparametric regression problem. We study the posterior contraction rates for filaments using a finite random series of B-splines prior on the regression function. Compared with the kernel method, this has the advantage that the bias can be better controlled when the function is smoother, which allows obtaining better rates. Under an isotropic Holder smoothness condition, we obtain the posterior contraction rate for the filament under two different metrics — a distance of separation along an integral curve, and the Hausdorff distance between sets. Moreover, we construct credible sets of optimal size for the filament with sufficient frequentist coverage. We study the performance of our proposed method through a simulation study and apply on a dataset on California earthquakes to assess the fault-line of the maximum local earthquake intensity. ------------------------------------------------ Tutti gli interessati sono invitati a partecipare. Il seminario è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Reminder - Talk by Vlad Bally in Rome
by Anna Vidotto 06 Jun '19

06 Jun '19

Dear all, I would like to remind the following talk that will be held tomorrow at the Department of Mathematics, University of Rome Tor Vergata. Vlad Bally (Université Paris-Est) - 07/06/19 - 4:30 PM - Aula D'Antoni 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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Summer school and workshop on Quantum Transport and Universality - Roma, Sept 2019 - 3rd announcement
by A. Giuliani 03 Jun '19

03 Jun '19

Dear colleague, this is the third announcement of the summer school and workshop on "Quantum Transport and Universality - From Topological Materials to Quantum Hydrodynamics", to be held at the Univ. Roma Tre on September 16-20, 2019 (school) and at the Accademia Nazionale dei Lincei, Roma, on September 23-25, 2019 (workshop). For the list of confirmed speakers, see below. Further details, including the poster and the registration form, can be found on the webpage: http://www.mat.uniroma3.it/users/giuliani/public_html/QTU2019/pagine_sito/i… REGISTRATION is free but mandatory. All participants are kindly asked to register before **JUNE 23, 2019** CONTRIBUTED TALKS: During the summer school, we plan to have a session of contributed talks. Interested contributors are invited to register and send via email at tlongo(a)mat.uniroma3.it the title and abstract of their proposed talk, together with their CV, by **JUNE 23, 2019** ACCOMMODATION: September is high season in Rome. We invite all the interested participants to reserve an accommodation well in advance. A list of a few solutions with special rates that have been negotiated for the school and conference can be found on the website, under the link `Accommodation'. If you need additional information, please contact us via email at tlongo(a)mat.uniroma3.it. We would be grateful if you could circulate this announcement among your students, postdocs and collegues. With my best regards, Alessandro Giuliani for the organizing committe (C. Di Castro, G. Gallavotti, A. Giuliani, R. Greenblatt, G. Jona-Lasinio, V. Mastropietro, D. Monaco, R. Raimondi) %%% LIST OF CONFIRMED SPEAKERS %%% SCHOOL: B. Doyon, G. M. Graf, T. Prosen, M. Porta; WORKSHOP: A. Burkov, P. Calabrese, H. Cornean, W. De Roeck, M. Fagotti, J. Frohlich, J. Garrahan, K. Gawedzki, I. Herbut, J. Imbrie, J. Lebowitz, A. H. MacDonald, V. Mastropietro, G. Panati, A. Scardicchio, H. Spohn, M. A. H. Vozmediano, X. Zotos.

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Summer School in Bonn 23-27 September
by Giuseppe Cannizzaro 01 Jun '19

01 Jun '19

Buongiorno, Con la speranza della massima diffusione, specialmente per dottorandi ma anche ricercatori e professori, ci tenevo ad informarvi che stiamo organizzando una *Summer School* dal titolo "*New frontiers in Singular SPDEs and Scaling Limit*" presso il *Hausdorff Institute di Bonn* tra il *23 e il 27 Settembre 2019*. La scuola sarà composta da 4 minicorsi di - Tadahiro Oh (University of Edinburgh) - Felix Otto (Max Planck Institute Leipzig) - Fabio Toninelli (Université Claude Bernard Lyon 1) - Nikolaos Zygouras (University of Warwick) Per maggiori informazioni e registrazione online, potete consultare il sito http://www.him.uni-bonn.de/en/programs/future-programs/future-junior-trimes… Per domande ulteriori, sono a disposizione all'indirizzo giuseppe.cannizzaro(a)warwick.ac.uk Con la speranza di accogliervi numerosi, Distinti Saluti, Giuseppe Cannizzaro

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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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