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Three fully funded PhD positions @Sussex
by Enrico Scalas 26 Apr '22

26 Apr '22

Dear colleagues, At the Department of Mathematics, University of Sussex, we have three fully funded PhD positions. Please see the links below for details and feel free to circulate this message to potentially interested people. Bayesian inference of discretely observed diffusions https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1441-EPSRC-DTP… Nonlinear problems related to traction force microscopy https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1443-EPSRC-DTP… Large N limit of gauge theories https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1440-School-of… Best regards, Enrico Scalas

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seminario: "Comparative gene finding on highly diverse chromosome alleles", Marina Axelson-Fisk 26 April
by Umberto Picchini 26 Apr '22

26 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University. On Tuesday April 26, Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> will talk of: ///"Comparative gene finding on highly diverse chromosome alleles"/ / / //*About the speaker: *Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> is an Assc. Professor in Mathematical Statistics at Chalmers and University of Gothenburg. She works mainly within the field of Bioinformatics, with particular focus on stochastic models and algorithms for comparative genomics and cross-species gene finding. She is an associate member of the Linnaeus Centre for Marine Evolutionary Biology (CeMEB), where she is involved in the bioinformatics analysis of a number of newly sequenced Swedish coastal organisms. ** *Abstract:* With the new sequencing technologies, the number of novel genome sequences has exploded. At the same time the genome projects are hampered by the lack of homologies to the novel genome, making it difficult both to properly train genome analysis tools and to assess the results. Moreover, the faster and cheaper sequencing methods come with the cost of data quality, and sequencing and annotation errors that make it into the genome databases are propagated to new genomes, making annotation an even bigger challenge. Methods that can improve the data quality is desperately needed. Here we propose a novel use of comparative gene finding to improve the annotation in organisms with high nucleotide diversity. Comparative gene finding methods utilizes the contrast in sequence similarity between functional and non-functional regions of evolutionary related species. We show how this can be applied to chromosome pair sequences in diploid sequence data. We demonstrate the approach on the highly diverse sea orchid Balanus improvisus using SLAM, a cross-species gene finder that simultaneously annotates and aligns two homologous sequences using Generalized Pair Hidden Markov Models.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/62177902216 Password: 786749 ** **** *When*: Tuesday 26 April at 14.30-15.30*(Swedish time, UTC+2)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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Postdoc position at Luiss
by Marco Scarsini 25 Apr '22

25 Apr '22

The Department of Economics and Finance at Luiss University has issued a call for a postdoc position in “Learning in Strategic and Stochastic Environments.” https://economiaefinanza.luiss.it/en/research/research-grants/research-gran… The ideal candidate is engaged in research at the interface of game theory, machine learning, stochastic methods, optimization, theoretical computer science, and economic theory. Although the position is not related to any specific research project, the candidate is expected to interact with the faculty having similar research interests. The postoc is expected to start in January 2023. ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Webinar PRISMA
by c.ceci＠unich.it 25 Apr '22

25 Apr '22

Buongiorno a tutti, abbiamo il piacere di annunciare i prossimi Webinars promossi dal Gruppo UMI-PRISMA: Lunedi’ 2 maggio 2022 ore 16-17 LAURA SACERDOTE TITOLO: Input-output consistency in Integrate and Fire neuronal networks ABSTRACT: Models of neurons aim to describe the information transmission within a neural network. Some models are mathematically tractable with the introduction of strong simplifications, ignoring the involved biophysicalfeatures of the single units. Others are very faithful to reality at the price of very complex mathematical descriptions. Models are then used to describe networks, often through simulations. The appearance of particular patterns in the trains of spikes is then used to compare with observed data or to switch from microscopic to macroscopic analysis. In this framework, it is essential to guarantee the reliability of the output of the model and often scientists compare the output of the models with real data. However, when the models are used to reproduce networks the output of some neurons becomes the input of a successive layer of neurons. This fact opens a problem of consistency between input and output of layers of neurons. To the best of our knowledge, this problem has not yet been deeply investigated. Here, we consider the simplest Stochastic Integrate and Fire model and we try to characterize the features of its input in such a way to re-obtain the same features in the output. In particular, we focus on the tail properties of ISIs distribution. Observed data suggest the presence of heavy tails for this distribution. Using the Stochastic Integrate and Fire paradigm for the neurons of the network we study how such features can be transmitted from the network. In this framework we introduce a particular class of multivariate distributions, i.e. the regularly varying distributions. We show that assuming that the input to a neuron is a regularly varying random vector and that successive ISIs of a neuron are asymptotically independent thenthe resulting output is a regularly varying random variable. The talk is based on a joint work with Petr Lansky and Federico Polito. Ore 17-18 BRUNO TOALDO TITLE: Semi-Markov processes, their exit times and non-local equations ABSTRACT: We introduce the theory of semi-Markov processes and their interplay with non-local equations. Particular attention will be devoted to the theory of exit times from sets and the connection with boundary value problems, e.g., on a time-dependent parabolic domain. Collegamento Teams: https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Tutte le informazioni sono reperibili anche alla pagina http://www.umi-prisma.polito.it/webinars.html Grazie per l’attenzione, Claudia Ceci e Domenico Marinucci Claudia Ceci Dipartimento di Economia Universita' "G. d'Annunzio" di Chieti-Pescara V.le Pindaro 42 65127, Pescara, ITALY c.ceci(a)unich.it

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Seminars in Pisa: A. P. Todino and F. Pistolato
by Francesco Grotto 25 Apr '22

25 Apr '22

Dear Colleagues, we would like to invite you to the following seminar by Anna Paola Todino (Università Milano Bicocca) to be held this Wednesday (April 27th) at Dipartimento di Matematica in Pisa and online via Google Meets. After the seminar, in the same location (on site and online), Francesca Pistolato (future PhD student at Université du Luxembourg) will give a short talk, details below. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: April 27th, 2022, 14:00-15:00 CET Speaker: Anna Paola Todino (UniMiB) Title: Alternative forms of random spherical harmonics Abstract: In the last decade, lot of efforts have been devoted to the analysis of the high-frequency behaviour of geometric functionals (Lipschitz-Killing Curvatures) for the excursion sets of random eigenfunctions on the unit sphere (spherical harmonics). The asymptotic behavior of their expected values and variances have been investigated and quantitative central limit theorems have been established in the high energy limits. In order to generalize these results, a local study was also introduced by considering subdomains of the sphere. This topic is linked to Berry's conjecture on planar random waves and finds its motivation in cosmological applications. Another interesting issue concerns the Gaussianity hypothesis of the random field. In this direction we introduce a model of Poisson random waves on the 2-dimensional sphere and we study Quantitative Central Limit Theorems when both the rate of the Poisson process and the energy (i.e. frequency) of the waves (eigenfunctions) diverge to infinity. We consider finite-dimensional distributions, harmonic coefficients and convergence in law in functional spaces, and we investigate carefully the interplay between the rates of divergence of eigenvalues and Poisson governing measures. Time: April 27th, 2022, 15:00-15:30 CET Speaker: Francesca Pistolato Title: A Small-Scale Reduction Principle for the Nodal Length of Monochromatic Random Waves Abstract: We prove an asymptotic mean square equivalence between the nodal length of monochromatic random waves and their sample trispectrum in the small-scale regime. We make use of coupling techniques for non-stationary Gaussian fields, and the so-called Small-Scale Central Limit Theorem for the nodal length, both proved by Dierickx, Nourdin, Peccati, Rossi in 2020. Consequently, we deduce the conjectured equivalence from the analogous one for Berry's random wave model, proved by Vidotto in 2020.

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A spring day in Probability and Statistical mechanics-6 maggio 2022
by Luisa Andreis 22 Apr '22

22 Apr '22

Carissimi, Vi annunciamo con enorme piacere che riprenderanno le giornate di incontri nate su iniziativa della nostra collega ed amica Francesca Romana Nardi. Prossimamente si terrà la decima giornata di seminari: A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 6 May 2022 Lecturers: Nina Gantert (Munich) and Senya Shlosman (Marseille) Location: Anfiteatro (piano terra), Viale Morgagni 65, Firenze Informazioni su come arrivare: https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html <https://www.google.com/url?q=https://www.dimai.unifi.it/vp-285-come-arrivar…> Note pratiche: stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono partecipare al pranzo. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare al pranzo. https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn… <https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn…> PROGRAMMA Prof. Nina Gantert (Technical University of Munich) Title: Mixing times for exclusion processes Prof. Senya Shlosman (Aix Marseille Université, Skolkovo Institute of Science and Technology) Title: t.b.a. Program: 11.00-11.45 Introductory lecture: Gantert 11.45-12.00 Break 12.00-12.45 Seminar: Gantert 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Shlosman 15.15-15.30 Break 15.30-16.30 Seminar: Shlosman Local Organizers: G. Bet, L. Andreis Scientific advisory committee: F. Caravenna, N. Cancrini, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, D. Fanelli, F. Flandoli, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, E. Presutti, B. Scoppola, E. Scoppola. Ricordiamo che ciascun oratore fara` una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni e aggiornamenti sono reperibili alle pagine web https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p… <https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p…> Vi aspettiamo numerosi Gianmarco Bet e Luisa Andreis Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy

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Seminar: Antonio Lerario at Tor Vergata
by mic sal 22 Apr '22

22 Apr '22

Dear all, next Friday, April 29th, Antonio Lerario (SISSA) will give a seminar about "The zonoid algebra". Abstract: In this seminar I will discuss the so called "zonoid algebra", a construction introduced in a recent work (joint with Breiding, Bürgisser and Mathis) which allows to put a ring structure on the set of zonoids (i.e. Hausdorff limits of Minkowski sums of segments). This framework gives a new perspective on classical objects in convex geometry, and it allows to introduce new functionals on zonoids, in particular generalizing the notion of mixed volume. Moreover this algebra plays the role of a probabilistic intersection ring for compact homogeneous spaces. Joint work with P. Breiding, P. Bürgisser and L. Mathis. The seminar will take place in Aula De Blasi, Università Tor Vergata, at 14h00. We encourage in-person partecipation, but should you unable to come here is the link to the event on Teams: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… The seminar is part of the Excellence Project Math@TOV. You can find a schedule with the next events at the following link: https://www.mat.uniroma2.it/~rds/events.php .

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Postdoc in Math Finance at NUS
by Marko Hans Weber 22 Apr '22

22 Apr '22

Dear all, The Department of Mathematics at the National University of Singapore (NUS) seeks a Postdoctoral Research Fellow in Mathematical Finance. The candidate will work closely with Dr. Marko Weber on various topics, including portfolio optimization, equilibrium asset pricing, and systemic risk. Collaboration with other faculty members is also encouraged. The appointment is for one year, with the possibility of a one-year extension subject to funding availability. Starting date is negotiable. The position does not carry teaching duties and comes with competitive compensation. Applicants should submit all materials electronically through MathJobs (https://www.mathjobs.org/jobs/list/19755) Application material includes a cover letter, a CV, a research statement, the list of publications/working papers, and two or three letters of recommendation. Deadline is April 30th. Best, Marko

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AMASES2022 - Call for submissions - Special Session: Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences
by Piero MAZZARISI 21 Apr '22

21 Apr '22

Dear Colleagues, a parallel session within the AMASES Annual Conference (https://amases2022.community.unipa.it/home <https://amases2022.community.unipa.it/home>) entitled "Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences" will take place on September 22-24, 2022 in Palermo. The session focuses on the emerging multidisciplinary study of the interconnections in finance and social science, which brings with it the necessity to deal with the growing amount of data available. A special emphasis is given to the latest advances in artificial intelligence and machine learning, which are expected to have a disruptive impact in economic, financial, and social data modeling. The special session intends to foster the dialogue between academics, regulators, and practitioners. Theoretical and empirical papers are welcome. Topics include but are not limited to: - contagion in social, economic, and financial networks - network modeling of financial time-series - big data approach to financial, economic, and social modeling - artificial intelligence, machine learning and natural language processing in social, economic, and financial systems It is a great pleasure to invite you to submit an extended abstract. The deadline for submission is June 13, 2022. The abstract submission Web page for AMASES 2022 is: https://easychair.org/conferences/?conf=amases2022 <https://easychair.org/conferences/?conf=amases2022> specifying that your paper should be considered for our special session. Please refer to the official web page of the conference for further details on the submission (https://amases2022.community.unipa.it/abstract-submission <https://amases2022.community.unipa.it/abstract-submission>). Important dates: June 13, 2022: Deadline for abstract submission June 27, 2022: Notification of acceptance For information, please contact: Fabrizio Lillo (fabrizio.lillo(a)unibo.it <mailto:fabrizio.lillo@unibo.it>) Michele Tumminello (michele.tumminello(a)unipa.it <mailto:michele.tumminello@unipa.it>) Piero Mazzarisi (piero.mazzarisi(a)sns.it <mailto:piero.mazzarisi@sns.it>) Best regards, Fabrizio Lillo, Michele Tumminello, and Piero Mazzarisi

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Fwd: I: Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning
by Marco Romito 21 Apr '22

21 Apr '22

ricevo e inoltro. m. ------------------------------------------------------------------------ *Da:* Massimo Fornasier <massimo.fornasier(a)ma.tum.de> *Inviato:* giovedì 21 aprile 2022 09:11 *A:* Massimo Fornasier *Oggetto:* Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning Dear Colleagues, I'm currently inviting candidates for * Doc/Postdoctoral Researcher (3-7 years), * starting July 1, 2022 or later. Please, would you forward this opening to interested candidates. See also the attached call. I'm intending to review applications immediately. Ideal candidates have § a master/doctoral degree in mathematics (exclusively degree in mathematics!) § a strong background in at least two of the following fields: machine learning, optimization, optimal control, nonlinear PDE, variational calculus, numerical analysis and algorithms, § some experience in numerical programming with Python,C/C++, Matlab or similar environments, § good command of the English language (knowledge of German is not required), and are interested in working on /mathematics of machine learning/. For more information please contact Prof. Massimo Fornasier (massimo.fornasier(a)ma.tum.de) Applications should be sent to toth-pinter(a)ma.tum.de with subject "Application for the Doc/PostDoc position mathematics of machine learning" and should include § a CV, with a list of publications (for postdoctoral researchers), § copies of degrees / university transcripts, § a motivational statement (at most one page) explaining the applicant's interest in the position as well as their relevant skills and experience, § names and email addresses of at least one (for doctoral researchers) or two (for postdoctoral researchers) professors that may provide letters of recommendation directly to the hiring committee. I thank you for your kind attention and cooperation. Best regards Massimo Fornasier P.S. Apologies for multiple posting.

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