Ricevo ed inoltro, con preghiera di diffusione a tutti gli interessati.
---------- Forwarded message ---------
Da: Fabio Machado <faprama(a)gmail.com>
Date: gio 7 nov 2019, 21:59
Subject: four postdoc positions in probability and stochastic processes -
IME-USP - Brazil
To: Fabio Machado <faprama(a)gmail.com>
Dear colleagues,
We have just advertised four postdoc positions in probability and
stochastic processes
at IME-USP (São Paulo, Brazil) to begin from February 2020 (flexible).
Further information
is available at:
https://mathhire.org/jobs/854
or
https://www.science.hr/jobs/54984/four-postdoc-positions-in-probability-and…
Please forward this information to anyone who might be interested.
Many thanks in advance,
Fabio Machado
https://www.ime.usp.br/~fmachado/
--
*Fábio Prates Machado* - Professor
Instituto de Matemática e Estatística
Universidade de São Paulo, Brasil.
Ricevo e inoltro,
Cordiali saluti,
Alessandro Zocca
-----------------------------------------------------------
Assistant Professor
Vrije Universiteit Amsterdam
Department of Mathematics
https://sites.google.com/site/zoccaale/
From: John Moriarty <j.moriarty(a)QMUL.AC.UK>
Date: Monday, November 11, 2019 at 12:36
Subject: Postdoc position in applied probability, Alan Turing Institute / QMUL
Dear colleagues,
it would be appreciated if you could forward the opportunity below to potentially interested candidates in applied probability.
A postdoctoral position is available in the ‘Data-driven stochastic control’ project at the Alan Turing Institute, funded by the Institute and by my EPSRC fellowship. The successful applicant may sit either at Queen Mary or at the Turing. The role involves application of the theory of stochastic optimal control in data-driven settings, and the investigation of applications to artificial intelligence. The position may be of interest to researchers working in optimal stopping, optimal switching, backward stochastic differential and difference equations, model ambiguity and risk aversion.
Applications close on 7th December and the expected start date is 1 January 2020 or as soon as possible thereafter, with an end date of 24 August 2021.
For more details see https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=4824 and informal enquiries can be addressed to jmoriarty(a)turing.ac.uk<mailto:jmoriarty@turing.ac.uk>
Apologize for cross-posting
Dear colleagues,
Journal of Energy Markets will publish a special issue, associated to
the workshop Energy Finance Italia 4 held in Milano in February 2019. However,
this call is not limited to conference participants, but also extends to other
researchers working on this topic.
Topics of particular interest may include, but are not limited to:
- integration of electricity markets,
- market power and market strategies,
- electricity market modeling and simulation,
- impact of new technologies,
- cross-border issues,
- CO2 emissions trading,
- green certificate markets,
- risk management,
- futures, forwards and derivatives,
- price and volatility dynamics,
- risk premia.
Therefore, we hope that you will consider this issue as an interesting and
useful forum for publishing your latest research work in the field.
Your submission should be made by e-mail to one of the guest editors
- Carlo Lucheroni <carlo.lucheroni(a)unicam.it>
- Tiziano Vargiolu <vargiolu(a)math.unipd.it>
The deadline for the submission of the full paper is December 31, 2019.
We would be glad to receive your paper submission to the Journal of Energy
Markets' special issue.
With kind regards,
Carlo Lucheroni and Tiziano Vargiolu
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------
Dear all,
FYI, the Statistical Methods for Post Genomic data (SMPGD) workshop will take place at Institut Pasteur in Paris on 23-24 January (more info below).
Best,
Julyan Arbel
---------- Forwarded message ----------
From: Franck Picard <franck.picard(a)univ-lyon1.fr>
Date: 7 Nov 2019 at 13:08 +0100
To: smpgd-scientific(a)groupes.renater.fr, smpgd-organization(a)groupes.renater.fr <smpgd-organization(a)groupes.renater.fr>
Subject: [smpgd-scientific] SMPGD'20, Institut Pasteur, Paris, January 23-24 - second call
> dear members of the SMPGD scientific committee
>
> Could you forward the announcement of the SMGPD 2020 edition to your
> national lists ? It appears that the information has not spread
> everywhere in Europe yet ;-)
>
> All the best
>
> Franck
>
> ----------------------------------------------------------------------------------------------
>
> Dear all,
>
> The 2020 edition of the Statistical Methods for Post Genomic data(SMPGD)
> workshop will take place at Institut Pasteur in Paris on 23-24 January.
> The workshop aimis to present works from mathematical to applied
> statistics, but alsonew areas in high throughput biology that could need
> new statisticaldevelopments.
>
> https://smpgd2020.sciencesconf.org/
>
> The 2020 edition is organized by the Bioinformatics and Biostatistics
> Hub (Institut Pasteur) and the main topicsare: Evolution of
> inter-species interactions, Machine learning algorithms for
> computational biology, and Evolution and epidemiology.
>
> The workshop will feature 4 keynote speakers:
>
> * Simona Cocco (Ecole des Neurosciences Paris Ile de France, Paris,
> http://www.paris-neuroscience.fr/en/chercheurs-non-enp/simona-cocco )
>
> * Julia Gog (University of Cambridge, Cambridge, UK
> http://www.damtp.cam.ac.uk/people/j.r.gog/ )
>
> * Louis Lambrechts (Institut Pasteur, Paris
> https://research.pasteur.fr/en/team/insect-virus-interactions/ )
>
> * Laurent Jacob (CNRS, LBBE, Université Lyon 1, Lyon
> https://lbbe.univ-lyon1.fr/-Jacob-Laurent-.html )
>
> Attendance is free, but registration is mandatory on the conference
> website. Registration deadline is *January 7, 2020*.
>
> Submissions for posters and short talks are open and will close
> on*November 15, 2019 at 23:59 pm*. Abstracts selected for a short
> talkwill be announced on December 15, 2019.
>
> We are looking forward to meeting you in Paris.
>
> Best regards,
>
> Marie-Agnès Dillies, on behalf of the organizing committee (Alice
> Cleynen, Franck Picard, Stéphane Robin and Anne Biton, Pascal Campagne,
> Vincent Guillemot, Emeline Perthame, Stevenn Volant)
>
Carissimi,
Vi annunciamo che prossimamente si terrà la nona giornata di seminari:
AN ``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS
University of Florence
Friday 22 November 2019
Lecturers: Sabine Jansen (Munich) and Luca Avena (Leiden)
Location: Aula Tricerri Viale Morgagni 67, Firenze
Informazioni su come arrivare alla pagina:
<https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html> https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html
Note pratiche: Stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono mangiare insieme. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di mandare un email a
<mailto:francescaromana.nardi@unifi.it> francescaromana.nardi(a)unifi.it; <mailto:gianmarco.bet@unifi.it> gianmarco.bet(a)unifi.it; <mailto:angela.caporicci@unifi.it> angela.caporicci(a)unifi.it
con l'intenzione di partecipare al seminario, al coffe break e al pranzo.
PROGRAMMA
Prof. Sabine Jansen (LMU Munich)
Title: Large deviations and metastability for the Widom-Rowlinson model
Abstract: The Widom-Rowlinson model is one of the few models in statistial mechanics for which a phase transition is rigorously proven. It is also popular in stochastic geometry and spatial statistics where it is called area interaction model and belongs to the broader class of quermass interaction models. After reviewing some relevant background about Gibbs measures for continuum interacting particle systems, I will discuss large deviations for the Widom-Rowlinson model in a joint high-density / low-temperature limit. I will also discuss metastability for a spatial birth and death process, a.k.a. continuum Glauber or grand-canonical Monte-Carlo, for which the Gibbs measure is reversible. Based on joint work with Frank den Hollander, Roman Kotecký and Elena Pulvirenti.
Prof. Luca Avena (University of Leiden)
Title: Explorations of networks through random spanning forests: theory and applications
Abstract: David Wilson in the 1990s described a simple and efficient algorithm based on loop-erased random walks to sample uniform spanning trees and, more generally, weighted rooted trees or forests spanning a given graph.
The goal of this lecture is to describe the resulting probability measure when Wilson's algorithm is used to sample rooted spanning forests.
This forest-measure has a rich, flexible and explicit mathematical structure which makes it a powerful tool to design different algorithms to explore a given network.
In the first part of the lecture, I will focus on fundamental aspects of this measure and how it relates to other objects of interest in statistical physics such as the well known Random-cluster model.
I will in particular describe the main properties of related observables (e.g. set of roots, induced partition) which turn out to be determinantal processes with simple kernels and then discuss some progress in understanding related scaling limits.
The second part of the lecture will be devoted to applications. In particular, depending on time, I plan to discuss four different algorithms aiming at: (1) sampling well-distributed points in a graph,
(2) coarse-graning a given network, (3) processing signals on graphs (a novel gaph wavelet transform), (4) estimating the spectrum of the graph Laplacian.
The core of this lecture is based on different joint collaborations with the following colleagues and students: Castell, Gaudillere, Melot, Milanesi (Marselle), Quattropani (Rome), Driessen, Koperberg, Magrini (Leiden) , Amblard, Barthelme, Tremblay (Grenoble).
Program:
11.00-11.45 Introductory lecture: Jansen
11.45-12.00 Break
12.00-12.45 Seminar: Jansen
13.00-14.30 Lunch
14.30-15.15 Introductory lecture: Avena
15.15-15.30 Break
15.30-16.30 Seminar: Avena
Organizers:
G. Bet, 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, F.R. Nardi, 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
http://web.math.unifi.it/users/fnardi/seminari/
o
http://silicio.math.unifi.it/wordpress/probability/days-in-probability-and-…
Vi aspettiamo numerosi
Gianmarco Bet e Francesca R. Nardi
Dipartimento di Matematica e Informatica
Università degli Studi di Firenze
Viale Morgagni 67, Firenze, Italy
Carissimi tutti,
vi comunico che all'Albo Ufficiale d'Ateneo di Pavia, alla pagina
*http://www-5.unipv.it/alboufficiale/
<http://www-5.unipv.it/alboufficiale/>*
è stato pubblicato in data 31/10/2019 il seguente bando (n. 1726):
* Bando di concorso per il conferimento di n. *2* borse di studio per
attività di ricerca dal titolo -Modelli di rischio finanziario- presso il
Dipartimento di Scienze Politiche e Sociali dell'Università degli Studi di
Pavia - *Scadenza 20 novembre 2019 - ore 12:00*
L’attività di ricerca verterà sulla tematica “*Modelli di rischio
finanziario*” e si svolgerà presso la sede di Milano di Unicredit S.p.A. e
sarà finanziata con fondi del contratto Unicredit, di titolarità della
Prof.ssa Figini. Durata di mesi 12.
L'importo totale della borsa è di € 15.600,00 e sarà corrisposto in rate
mensili.
Grazie per l'attenzione. Cordiali saluti,
Giorgia Callegaro
--
Giorgia Callegaro
Assistant Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home
---------- Forwarded message ----------
Date: Tue, 5 Nov 2019 18:47:21 +0100
From: Idris Kharroubi <idris.kharroubi(a)upmc.fr>
To: undisclosed-recipients: ;
Subject: Advances in Financial Mathematics 2020
The conference "Advances in Financial Mathematics 2020" supported by the
chair Risques Financiers
will take place from january 14 to january 17 2020 at the Cordeliers
campus in Paris. It will address topics of particular relevance for the
practice of financial risk management : market liquidity, market
microstructure, risk measures, numerical methods, model calibration and
model risk, robustness, credit/Default/Counterparty risk, regulatory
aspects, non-linear valuation, hedging, systemic risk, game theory,
blockchain.
Registration is free but compulsory on the website
https://fin-risks2020.sciencesconf.org/
On Behalf of the organizing committee,
Idris Kharroubi
Professor
Laboratoire de Probabilit?s, Statistique et Mod?lisation
Sorbonne University -
Facult? of Science and Engineering
Ricevo e inoltro.
Cordial saluti,
Stefano Favaro
**** Inizio messaggio inoltrato ****
Da: Patrick Rebeschini <patrick.rebeschini(a)stats.ox.ac.uk>
Oggetto: PhD opportunities, Oxford-Imperial StatML
Data: 5 novembre 2019 23:45:22 CET
A: "stefano.favaro(a)unito.it" <stefano.favaro(a)unito.it>
RE: PhD opportunities in Modern Statistics and Statistical Machine Learning at Imperial and Oxford. Deadline for first application round: November 15.
Are you interested in modern statistics and machine learning? Do you have a background in Maths, Statistics or related areas? If so then apply to the StatML CDT!
StatML is a new Centre for Doctoral Training (CDT) based at Imperial College London and the University of Oxford.
We offer a transformative style of doctoral training, leading towards a PhD / DPhil, which provides opportunities to:
• explore new research areas using modern statistical methods and machine learning;
• make real scientific, societal and industrial impacts with your research;
• experience and engage in peer to peer learning;
• be involved in cohort based training;
• work directly with leading industrial partners;
• receive exposure to cutting edge researchers in two world-leading universities.
We will offer about 15 studentships for entry in October 2020. Each student will be funded with a grant for four years of study. Typically, the funding is available for Home/EU students – we expect to have two admissions rounds with submission deadlines of 15 November 2019 and 24 January 2020.
There are very limited funding opportunities for overseas students (see the website for details).
StatML is funded by EPSRC with support from industrial partners.
Please visit the StatML website to find out more: https://statml.io/ <https://statml.io/>
Stefano Favaro
University of Torino and Collegio Carlo Alberto
http://sites.carloalberto.org/favaro/
Salve,
segnalo ai potenziali interessati un annuncio per una posizione post-doc presso L'Euler International
Mathematical Institute a St Peterburg, ``in all areas of Mathematics, Theoretical Computer Science, Mathematical and Theoretical Physics''.
Il salario corrisponde circa a 1450 euro netti mensili + biglietti aerei. La durata e' da 1 a 2 anni eventualmente rinnovabili per un altro anno. La domanda va fatta preferibilmente entro il 30.11.19. Per ulteriori dettagli, vedere
http://www.pdmi.ras.ru/EIMI/
Saluti,
Dario Trevisan
--
Dario Trevisan,
Università degli Studi di Pisa,
Dipartimento di Matematica,
Largo Bruno Pontecorvo 5,
56127 - Pisa (PI) Italy
telephone: (+39) 050 2213832
mobile: (+39) 331 2899761
Skype: dario-trevisan
e-mail: dario.trevisan AT unipi.it
webpage: http://people.dm.unipi.it/trevisan/
*Mini-course* held by *Giovanni Peccati* (6 hours)
Title: *The Malliavin-Stein method*
Abstract: *I will provide a self-contained introduction to a collection of
probabilistic techniques developed in the last decade, focussing on
quantitative limit theorems for non-linear functionals of Gaussian fields,
obtained by combining two techniques: (i) the Malliavin calculus of
variations, and (ii) Stein's method for probabilistic approximations. I
will develop in full detail at least one geometric application related to
the structure of level sets of Gaussian fields, and I will try to point out
a number of further directions of research, connected e.g. to concentration
estimates, entropic bounds, discrete geometric structures and the analysis
of Boolean functions.*
*A systematically updated list of papers related to Malliavin-Stein
techniques can be found here *
https://sites.google.com/site/malliavinstein/home
*The main reference of the matter is the monograph by I. Nourdin and
myself: *https://tinyurl.com/y3h2n8e2
Place: Aula Dal Passo, Dipartimento di Matematica, Università di Roma Tor
Vergata
Via della Ricerca Scientifica 1, 00133 Roma
Schedule:
- Thursday November 14th, from 2 PM to 5 PM
- Friday November 15th, from 9:30 AM to 12:30 AM
---------
Anna Vidotto
PostDoc Researcher
Dipartimento di Matematica
Università degli Studi di Roma Tor Vergata
https://sites.google.com/view/annavidotto
Apologize for cross-posting.
---------------------------------------------
Dear All,
with this e-mail, we would like to inform you that the Department of Economics, Management and Quantitative Methods (DEMM), University of Milan, Italy, launches a call for a full-time, 3-year fixed-term Postdoctoral Research Associate position to work on a statistical science programme grant funded by the Centre of Excellence in Economics and Data Science (CEEDS), awarded by the Italian Ministry of Education (MIUR).
The research activity is to be carried out at the Department of Economics, Management and Quantitative Methods of the University of Milan, under the supervision of Prof. Chiara Tommasi, within the research programme “Selection of the most informative observations”. The annual gross remuneration package for this position will be €32,000.
The research project concerns adaptation and generalization of the optimal design theory and of some typical results of mathematical statistics, for selecting the most informative observations from a huge and complex data set.
Details on the application can be found at https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg… <https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg…>.
Deadline for application: November 15th 2019
Samantha Leorato
-----------------------------------------------------
Associate Professor in Statistics
Dept. Economics, Management, and Quantitative Methods
University of Milan,
via Conservatorio, 7
20122 Milano
Samantha.Leorato(a)unimi.it
https://sites.google.com/site/samanthaleorato/https://www.researchgate.net/profile/Samantha_Leorato
-----------------------------------------------------
Si avvisa che in data 06-12-2019, alle ore 14:30 precise, presso l'Aula Seminari "F. Saleri" VI piano, Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario:
Relatore: Emanuele Borgonovo, Bocconi University
Titolo: Explainability, intepretability and sensitivity analysis
Sommario: A growing research activity is developing for increasing interpretability of machine findings. When complex architectures are used, analysts are, in fact, exposed to the black-box effect. This seminar will review several methods used both in the machine learning and in the simulation community to make the black box more transparent. We shall discuss tools such as partial dependence functions, layerwise relevance propagation, as well as present several local and global sensitivity analysis methods, also proposing new tools and new findings on popular tools.
Tutti gli interessati sono invitati a partecipare.
Cordiali saluti,
Laura Sangalli
--
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
url: http://mox.polimi.it/~sangalli
Ricevo ed inoltro.
Elisabetta
---------- Forwarded message ----------
From: "CHHITA, SUNIL" <sunil.chhita(a)durham.ac.uk>
To:
Cc:
Bcc:
Date: Wed, 30 Oct 2019 13:45:31 +0000
Subject: Position in Probability at Durham University
Dear Friends and Colleagues,
Apologies if you receive more than one copy of this message.
We are currently advertising a new assistant professor position (i.e.
lecturer) in probability at Durham University, UK. The closing date for
applications is 13th December 2019. Please see the link below for more
details:
https://www.dur.ac.uk/jobs/recruitment/vacancies/math20-15/
Please pass this on to anyone who you think might be interested.
Many thanks,
Sunil Chhita
Nicholas Georgiou
Ostap Hryniv
Mikhail Menshikov
Ellen Powell
Mustazee Rahman
Matthias Troffaes
Andrew Wade
-------- Messaggio originale --------
Oggetto: Call for Papers -- EFI5-Energy
Finance Italia Ed.5
Data: 30-10-2019 23:09
Mittente: LM <lmastroeni(a)os.uniroma3.it>
Dear All,
we are delivering the Second Call for Papers for the workshop
EFI5 - Energy Finance Italia Edn. 5
Roma Tre University, Department of Economics
February 10 - 11, 2020
The DEADLINE for submissions is DECEMBER 15TH, 2019
IMPORTANT DATES:
DECEMBER, 15TH
Deadline for submissions of extended abstracts
JANUARY, 15TH
Deadline for notification of acceptance
JANUARY, 25TH
Deadline for the payment of fees
JANUARY, 31ST
Deadline for the submission of full papers
FEBRUARY, 10TH - 11TH
Workshop
KEYNOTE SPEAKERS: Lutz Kilian [1] and Brian Wright [2]
A SELECTION OF PAPERS presented at the workshop will be published in the
journal Decisions in Economics and Finance [3].
You can find all the information at the following link
http://host.uniroma3.it/eventi/efi5/
All the best
Loretta Mastroeni
LORETTA MASTROENI
Associate Professor of Mathematical Finance
Department of Economics
Via Silvio D'Amico, 77 - 00145 Rome - Italy
ph: +39-6-5733.5693
e-mail: loretta.mastroeni(a)uniroma3.it
Skype contact: lmastroeni_1
Links:
------
[1] https://sites.google.com/site/lkilian2019/
[2] https://are.berkeley.edu/users/brian-wright
[3] https://www.springer.com/journal/10203
ricevo e inoltro
/********************************************************************/
/* *Fourth European Conference on Queueing Theory (ECQT'20)* */
/* Madrid, Spain, *July 20-22, 2020* */
/* ecqt20.sciencesconf.org */
/********************************************************************/
*GENERAL INFORMATION*
The European Conferences on Queueing Theory (ECQT) is now a consolidated
tradition for the members of the queueing theory community in europe and
abroad. After the three past editions (Genth, Belgium in 2014, Toulouse,
France in 2016, Jerusalem, Israel in 2018), the next one comes back in
Madrid, where the parent MCQT conferences were first organized by Jesús
Artalejo during the years 2002-2010.
ECQT conferences aim to be a meeting place where scientists and technicians
in the field can find a discussion forum to promote research,encourage
interaction and exchange ideas. The conference is open to all trends in
queueing theory, including the development of the theory, methodology
advances, computational aspects and applications. The spirit of the
conference is to be a queueing event organized from within Europe, but
attendees and submissions need not be restricted to Europe.
*CALL FOR ABSTRACTS*
We invite you to submit an abstract to ECQT'20 conference. Instructions for
preparing the abstracts will be available soon on the conference website .
Each abstract accepted for presentation will require a separate
registration. The deadline for submission of an abstract is April 15, 2020.
*SPECIAL ISSUES*
Participants at the conference will be given the opportunity to submit a
paper to special volumes of the journals *Queueing Systems: Theory and
Applications* (QUESTA) and *Performance Evaluation*. The paper should be
based on unpublished work presented at the conference. All submitted papers
will be refereed according to the high standards of the journals. The
deadline for submission to the special issues is *September 30, 2020*. More
information on the special issues will be given in future announcements.
*TAKACS THESIS AWARD*
The Steering committee of the European Conference on Queueing Theory (ECQT)
is pleased to announce the setting up of the third edition of the Takács
award. The Takács Award is a bi-annual award presented to doctoral
dissertations in recognition of outstanding contributions to queueing
theory, including the development of theory, methodological advances,
computational aspects and applications. The award will be presented during
the ECQT'20 conference. Details will be published in the conference website
soon.
*ECQT'20 IMPORTANT DATES*
Submission site opens: *January 1, 2020*
Deadline for abstract submission: *April 15, 2020*
Notification of acceptance: *April 30, 2020*
Early registration deadline: *May 31, 2020*
Conference dates: *July 20-22, 2020*
*CONFERENCE WEBSITE*
Further information is provided at the conference website
<http://ecqt16.sciencesconf.org/>ecqt20.sciencesconf.org, accessible also
at ecqt20.uc3m.es.
*ECQT'20 ORGANIZING COMMITTEE*
*General Chairs*:
Bernardo D'Auria, Madrid University Carlos III
*TPC Chairs*:
Ivo Adan, Eindhoven University of Technology
Bernardo D'Auria, Madrid University Carlos III
Offer Kella, Hebrew University of Jerusalem
*ECQT Steering Committee*:
Sem Borst, TU Eindhoven and Nokia
Herwig Bruneel, Ghent University
Douglas Down, McMaster University
Antonis Economou, University of Athens
Bara Kim, Korea University
Michel Mandjes, University of Amsterdam
Antonio Pacheco, IST-UTL
Miklos Telek, Budapest University of Technology and Economics
Sabine Wittevrongel, Ghent University
*Local Organizing Committee*:
Sergio Santiago Benito, ADCOMM Century S.L., Madrid
Cari colleghi
vi segnalo il bando per un posto di Ricercatore di tipo B, Mat/06,
Dipartimento di Matematica Università di Roma Tor Vergata, uscito ieri
sulla Gazzetta Ufficiale:
http://web.uniroma2.it/module/name/Content/newlang/italiano/action/showpage…
Vi prego di diffondere l'annuncio tra i potenziali interessati, saluti e
grazie,
Domenico Marinucci
--
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Dear all,
I would like to announce the following talk that will be held on Thursday
*November* *7th* 2019, at *5 PM*, in *Aula D’Antoni* of the Department of
Mathematics, University of Rome Tor Vergata.
*Speaker:* Emilio Porcu (Trinity College Dublin)
*Title:* Modeling Temporally Evolving and Spatially Globally Dependent Data
*Abstract:* The last decades have seen an unprecedented increase in the
availability of data sets that are inherently global and temporally
evolving, from remotely sensed networks to climate model ensembles. This
paper provides an overview of statistical modeling techniques for
space–time processes, where space is the sphere representing our
planet. In particular, we make a distinction between (a) second
order‐based approaches and (b) practical approaches to modeling
temporally evolving global processes. The former approaches are based on
the specification of a class of space–time covariance functions, with
space being the two‐dimensional sphere. The latter are based on
explicit description of the dynamics of the space–time process, that
is, by specifying its evolution as a function of its past history with
added spatially dependent noise.
We focus primarily on approach (a), for which the literature has been
sparse. We provide new models of space–time covariance functions for
random fields defined on spheres cross time. Practical approaches (b)
are also discussed, with special emphasis on models built directly on
the sphere, without projecting spherical coordinates onto the plane.
We present a case study focused on the analysis of air pollution from
the 2015 wildfires in Equatorial Asia, an event that was classified as
the year's worst environmental disaster. The paper finishes with a list
of the main theoretical and applied research problems in the area, where
we expect the statistical community to engage over the next decade.
Kind regards,
Anna Vidotto
---------
Anna Vidotto
PostDoc Researcher
Dipartimento di Matematica
Università degli Studi di Roma Tor Vergata
https://sites.google.com/view/annavidotto
Workshop for those interested in applying Machine Learning to physical
problems. The organizers also provide a number of travel grants.
Best,
Mateusz
---------- Forwarded message ---------
Da: Andrey Lokhov <andrey.lokhov(a)gmail.com>
Date: mar 29 ott 2019 alle ore 02:12
Subject: 3d Physics Informed Machine Learning - January 13-17, 2020
To: Michael Chertkov <chertkov(a)math.arizona.edu>, Lokhov, Andrey <
lokhov(a)lanl.gov>, Mohan, Arvind Thanam <arvindm(a)lanl.gov>
Dear Colleagues,
We would appreciate if you could share the workshop announcement below with
your colleagues, and attract the attention of graduate students and
postdocs to the available travel grants.
Thank you,
Michael Chertkov, Andrey Lokhov, Arvind Mohan
-------------------
The Center for Nonlinear Studies and The Information Science & Technology
Institute at Los Alamos National Laboratory are pleased to announce an
upcoming conference:
[image: 3ea459d06f4f4153b23454d39692e8df.jpg]
*3d Physics Informed Machine Learning*
*January 13-17, 2020*
*Inn and Spa at Loretto, Santa Fe, New Mexico*
*Workshop website: **cnls.lanl.gov/piml2020* <http://cnls.lanl.gov/piml2020>
Previous editions of the workshop are available at cnls.lanl.gov/piml2018
and cnls.lanl.gov/piml2016.
*Topics:*
- Theory and Methods *(Monday and Tuesday morning)*
Deep learning, graphical models, optimization, tensor and
message-passing methods, statistical learning
- Algorithms and Applications *(Tuesday afternoon and Wednesday)*
Physics, computer science, biology, dynamical systems, novel
computational paradigms (quantum, memristors), etc.
- Special Topic: Spatio-Temporal Flows *(Thursday and Friday morning)*
Dynamical systems, fluid mechanics and turbulence
*Important Dates:*
- Financial support requests: *November 15, 2019*
- Abstract submissions: *November 15, 2019*
- Travel grant awards decisions: *December 6, 2019*
- Workshop dates: *January 13-17, 2020*
*Travel Grants for Students and Postdocs:*
A limited number of travel grants are available for selected graduate
students and postdocs to help offset the cost of attending the conference.
Those interested should submit an application, including poster abstract
and CV, before the deadline of *November 15, 2019*. We will make funding
decisions by *December 6, 2020*. Please submit your application to:
*piml2020(a)lanl.gov* <piml2020(a)lanl.gov>.
*Posters:*
Participants are encouraged to submit a poster, which will be displayed
throughout workshop. We will also schedule a slot for poster discussions,
tentatively scheduled for Monday, the first day of the workshop. Depending
on the schedule, some posters will be selected for longer contributed
presentations throughout the week. If you are applying for a travel grant,
then you are required to submit your poster abstract by Friday, November
15, 2019.
*Summary:*
This workshop continues discussions and explorations started in January
2016 and January 2018 at the first and second editions of the workshop. A
revolution in statistics and machine learning (ML) is underway. Modern
algorithms can now learn high level abstractions via hierarchical models,
leading to break-through accuracy in benchmarks for computer vision,
language, etc. Underlying these advances is a strong and deep connection to
various aspects of applied mathematics and statistical physics. For
example, proper choice of statistical force allows to screen interaction
and learn graphical models governing multi-dimensional distributions
efficiently, gauge transformations from physics guide incorporation of
symmetries in the neural network design, dynamical system interpretation
helps to understand and improve performance of most efficient deep learning
schemes, etc.
This workshop seeks perspectives on leveraging the deep connection between
ML and physics, but now with the goal to better understand and model
physical systems, static and dynamic. We invite experts both in machine
learning techniques as well as domain science applications. In this third
edition of PIML we will focus on applications of interest to our LANL and
DOE sponsors, specifically on improving scale-reduced, large eddy modeling
and simulations of turbulence that arise in various mechanical-engineering,
aerospace and climate applications; building reduced models for
infrastructures (energy systems, cyber-physical systems, etc.); guiding
development of inverse/design approaches in quantum physics, e.g. related
to tensor networks; designing new computational paradigms (such as related
to quantum and neuromorphic computing).
The workshop discussions are aimed towards approaches and methods for
physical modeling applications where a big-data, black-box approach to ML
is only a starting point. We seek participants who may suggest innovative
approaches that extend application agnostic ML techniques by incorporating
complex constraints imposed by physical principles (e.g. conservation laws,
causality, symmetries, entropy principles and related). The workshop format
assumes 7 talks a day, late afternoon discussions and poster session. We
encourage application of young researchers for fellowships (see website for
details). We plan for active participation of LANL researchers and program
managers across directorates and divisions interested in the physics
informed learning. This emerging area of research has many aspects of
computational co-design, and draws on LANL's strengths in statistical
physics, modern applied mathematics, theoretical and applied computer
science, infrastructure modeling and simulations, fluids and materials
modeling, and high performance computing. Looking forward, we view physics
informed learning as a viable path for LANL and DOE toward truly predictive
multi-scale modeling, optimization, inference and leading for plethora of
relevant applications in sciences and engineering.
*Organizing Committee:*
Michael Chertkov (University of Arizona)
Andrey Lokhov (Los Alamos National Laboratory)
Arvind Mohan (Los Alamos National Laboratory)
[image: bed3f21384084acb905f2c173a3fa658.jpg]
Dear all,
this is to announce the following research talk by Claudio Macci, to be held in Pisa.
PLACE: Sala Seminari, Dipartimento di Matematica, Università di Pisa (first floor).
DATE & TIME: Wednesday, Nov 6, 2019, 3 PM
SPEAKER: Claudio Macci (Università Roma Tor Vergata)
TITLE:
Multivariate fractional (possibly compound) Poisson
processes
ABSTRACT:
we present multivariate space-time fractional Poisson
processes by considering common random time-changes
of a finite-dimensional vector of independent classical
(nonfractional) Poisson processes. In some cases we also
consider compound processes.
We obtain some equations in terms of some suitable
fractional derivatives and fractional difference operators,
which provides the extension of known equations for the
univariate processes.
In particular we show that, for each fixed $t\geq 0$, the
conditional joint distribution of the components given
their sum is multinomial, as happens for the nonfractional
Poisson processes.
Thus we consider a suitable multivariate "alternative"
fractional Poisson process, and we study its asymptotic
behavior for large times (large and moderate deviations).
The results appear in two papers with Luisa Beghin.
Best,
Dario
--
Dario Trevisan,
Università degli Studi di Pisa,
Dipartimento di Matematica,
Largo Bruno Pontecorvo 5,
56127 - Pisa (PI) Italy
telephone: (+39) 050 2213832
mobile: (+39) 331 2899761
Skype: dario-trevisan
e-mail: dario.trevisan AT unipi.it
webpage: http://people.dm.unipi.it/trevisan/
Cari colleghi,
segnalo l'assegno di ricerca, SSD MAT/06 (Probabilità e Statistica
Matematica), titolo: "Processi Stocastici'' (scadenza 27/11/2019)
http://bandi.miur.it/bandi.php/public/fellowship/id_fellow/164453
L'assegno è bandito all'interno del progetto di eccellenza MIUR presso
il Dipartimento di Matematica dell'Università di Pavia.
Grazie per l'attenzione.
Enrico Priola
--
Enrico Priola
Dipartimento di Matematica, Università di Pavia
Via Adolfo Ferrata 5, 27100 Pavia
tel +39 0382 985639
Comunico il seguente cambio di edificio / aula:
Il colloquium di Lorenzo Zambotti a Milano-Bicocca, lunedì 28 ottobre 2019 ore 16:00, si terrà nell'aula U3-07 dell'edificio U3 (piano terra, Piazza della Scienza), 5 minuti a piedi dal Dipartimento di Matematica e Applicazioni.
Il colloquium sarà seguito da un rinfresco. Segue l'annuncio completo.
Francesco Caravenna
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Colloquium del Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca & Seminario Matematico e Fisico di Milano
Lorenzo Zambotti (Sorbonne Université, Paris)
"Regularity structures: from physics to probability, from analysis to algebra, from combinatorics to geometry"
lunedì 28 ottobre 2019
ore 16:00, aula U3-07, edificio U3
(piano terra, Piazza della Scienza, Milano)
Abstract: In this talk I wish to present some of the ideas at the heart of the theory of regularity structures (RS), introduced by Martin Hairer in 2014. RS are perhaps best described as a theory of Taylor expansions in a fractal (random) setting. I plan to show how this theory is based on a fascinating interplay between several different disciplines, as announced by my title.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
--
_________________________________________
Francesco Caravenna
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
Via Cozzi 55, 20125 Milano, Italy
http://www.matapp.unimib.it/~fcaraven/
_________________________________________
---------- Forwarded message ---------
From: Naomi Kraker <kraker(a)maths.ox.ac.uk>
Date: Fri, Oct 25, 2019 at 2:47 PM
Subject: Call for applications, Integrable Probability Summer School
To: Naomi Kraker <admin(a)claymath.org>
The CMI-HIMR Integrable Probability Summer School will be held 27 July-7
August 2020 at the Mathematical Institute, University of Oxford. We would
be grateful if you would circulate the below announcement to anyone who
might be interest in applying. Thank you very much.
With best regards,
Naomi
Naomi Kraker
Administrative Manager
Office of the President, Clay Mathematics Institute
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford OX2 6GG U.K.
Email: admin(a)claymath.org
Tel: +44 (0)1865 615155
www.claymath.org
*CMI-HIMR Integrable Probability Summer School*
*27 July – 7 August 2020*
*Mathematical Institute, University of Oxford*
The domain of integrable probability seeks to understand universal
phenomena through exactly solvable probabilistic systems of algebraic and
representation theoretic origin. This two-week postgraduate mathematics
summer school will feature mini-courses and research talks on methods to
find and analyze such solvable systems, as well as on more probabilistic
approaches to expand the universality classes around them.
Eight mini course speakers will each deliver three hours of
lectures. Daily problem sessions and exercise presentations will help to
reinforce the material from the courses. In addition to the mini course
lectures, guest speakers will present research talks designed to complement
the mini course topics.
*Organisers: *Alexei Borodin (MIT) and Ivan Corwin (Columbia)
*Mini course lecturers: *Jinho Baik (Michigan), Hugo Duminil-Copin (IHES),
Vadim Gorin (MIT and Wisconsin, Madison), Rick Kenyon (Yale), Greta Panova
(USC), Jeremy Quastel (Toronto), Fabio Toninelli (Lyon 1), Michael Wheeler
(Melbourne)
*Research Talk Speakers: * Amol Aggarwal (Harvard), Evgeni Dimitrov
(Columbia), Yan Fyodorov (KCL), Alan Hammond (UC Berkeley), Alisa Knizel
(Columbia), Pierre Le Doussal (ENS Paris), Leonid Petrov (Virginia),
Tomohiro Sasamoto (Tokyo Inst Tech), Li-Cheng Tsai (Rutgers), Jon Warren
(Warwick), Nicos Zygouras (Warwick)
For graduate students or early career researchers who work in this area or
nearby fields.
*Registration: *
http://claymath.org/events/cmi-himr-integrable-probability-summer-school
Student places are offered with accommodation and weekday meals.
This summer school is jointly funded by the Clay Mathematics Institute and
the Heilbronn Institute for Mathematical Research, with support from the
Mathematical Institute of the University of Oxford.