Buongiorno,
vi giro il messaggio mandato alla mailing list del OWPS.
Grazie per l'attenzione
Alessandra
---------- Forwarded message ---------
Da: Andreas Kyprianou <ak257(a)bath.ac.uk>
Date: lun 18 gen 2021 alle ore 19:28
Subject: [owps] One World Probability Seminar
To: <owps(a)lists.bath.ac.uk>
Dear All,
(Apologies if you get this message more than once).
Thank you for your ongoing support for the One World Probability Seminar. We
would be grateful if you could please circulate the message below around
your
research networks, to help us reach probabilists who are not subscribers to
the OWPS mailing list.
Started last spring in response to the Covid-19 epidemic, the OWP seminar
seeks to present top level speakers from around the world to a broad
international audience of probabilists. It takes place each Thursday on Zoom
and is simultaneously live streamed on YouTube (check the website to see the
time in your local time zone). The weekly format is typically two talks on
the
same or related subjects, aimed at a broad audience. The first talk is
usually
a background talk, while the second highlights more contemporary research
developments.
You can find the details of the upcoming seminars, videos and slides of
past-
seminars, and instructions on how to subscribe to the OWPS mailing list on
the
OWPS website
https://www.owprobability.org/one-world-probability-seminar
The weekly seminars are announced to the mailing list the day before.
We look forward to your participation in the seminar series this spring.
Alessandra Faggionato and Amanda Turner
(OWPS chairs, spring 2021)
Dear Colleagues,
this is a slightly unusual message.
As you probably know, Elizabeth Meckes - an expert in random matrix theory
and Stein's method - died unexpectedly in December 2020 after a short
illness, while on sabbatical in Oxford. She was 40 years old:
https://thedaily.case.edu/remembering-professor-of-mathematics-elizabeth-me…
Yesterday, during a conference in Bonn, Persi Diaconis (her former PhD
advisor) gave a talk about Elizabeth, her research and her personality. It
is a beautiful and very touching speech, yet able to convey the universal
joy of doing research and mentoring young colleagues.
You can find it here:
https://www.youtube.com/watch?v=xldMG911NN0&feature=emb_logo
All my best, Giovanni
--
Prof. Giovanni Peccati
------------------------------------------
Head of the Department of Mathematics
Faculty of Science,
Technology and Medicine
------------------------------------------
University of Luxembourg
-----------------------------------------
homepage:
http://sites.google.com/site/giovannipeccati/Home
E-mail: giovanni.peccati(a)gmail.com
Forwardo il messaggio sotto per chi non fosse iscritto alla OWPS mailing
list.
Buona serata
Alessandra
---------- Forwarded message ---------
Da: One World Probability <ow.probability(a)gmail.com>
Date: mer 13 gen 2021 alle ore 18:27
Subject: [owps] One World Probability Seminar Thursday January 14, 2021
To: <owps(a)lists.bath.ac.uk>
Tomorrow's speakers in the One World Probability Seminar are
(Note: all times are in UTC. *Due to time changes, you should check what
that translates to in your location*)
------------------------------------------------
(14:00-15:00 UTC) Speaker: Thomas Leblé (CNRS - Université de Paris (MAP5))
Title: Coulomb gases: a short introduction
Abstract: Coulomb potentials are natural examples of systems with
long-range interactions. They appear in statistical physics, random matrix
theory, vortex systems, constructive approximation… and can be seen as a
(possibly infinite) random collection of points that exhibit interesting
stochastic features depending on the length scale and the temperature T.
For example, their global arrangement is predicted by a mean field model
and is found to be independent of T, whereas their local arrangement varies
wildly with T while conserving strong, surprising rigidity properties all
along.
I will present some basic facts about the analysis of Coulomb gases and
mention a few long-standing questions around which recent developments have
taken place.
(15:00-16:00 UTC) Sylvia Serfaty (NYU Courant)
Title: Local laws and fluctuations for Coulomb gases
Abstract: We are interested in the statistical mechanics of systems of N
points with Coulomb interactions in general dimension for a broad
temperature range. We discuss local laws characterizing the rigidity of the
system at the microscopic level, as well as free energy expansion and
Central Limit Theorems for fluctuations.
------------------------------------------------
The zoom link will appear the day before on the OWPS website:
https://www.owprobability.org/one-world-probability-seminar
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.owpro…>
It can also be directly accessed through the link below:
https://uniroma1.zoom.us/j/84008096626?pwd=N3MyYUFaMElvazIrS3hzNE1aSnRRZz09
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiroma1.…>
Please feel free to circulate this email.
We hope to see you all tomorrow!
One World Probability Team
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Dear all,
I would like to announce the following online seminar
that will take place next week via the Zoom platform.
Best regards, Maurizia Rossi
*Tuesday, Jan 19 - 4:30pm *(Rome time zone)
Speaker: *Arturo Jaramillo Gil* (*CIMAT -* Centro de Investigación en
matemáticas, Mexico)
Title: *Quantitative Erdös-Kac theorem for additive functions*
Summary: The talk will take as a starting point the celebrated Erdös-Kac
theorem; a result of great importance in probabilistic number theory, which
establishes that the fluctuations of the number of prime factors in a
uniform sample over {1,..., n} are asymptotically Gaussian. Naturally,
after the publication of this result, many quantitative versions of it have
been studied. LeVeque conjectured that the optimal rate was asymptotically
equivalent to loglog(n)^(-1/2). This was later proved by Turan and Rényi
by means of an ingenious manipulation of the underlying characteristic
function. Unfortunately, up to this day, all the perspectives for solving
LeVeque's conjecture are based on the use of non-trivial complex analysis
tools, while the probabilistic perspective has been only successfully
applied to obtain suboptimal rates of convergence. In this talk, we will
give a purely probabilistic proof of LeVeque's conjecture which will allow
us to address the problem in a general fashion by means of Stein's method
techniques.
*Link Zoom*
https://us02web.zoom.us/j/88100676046?pwd=NTFjdlAyVjdSTE8rVnBmUGVWelFPdz09
*Meeting ID*: 881 0067 6046
*Passcode*: 680246
- - -
Maurizia Rossi
Dipartimento di Matematica e Applicazioni
Università di Milano-Bicocca
Dear All,
we are glad to announce the program of the XXII Workshop on Quantitative Finance. This is available at the website:
http://dse.univr.it/qfw2021/
where you can also (freely) register for the event (registration is necessary to get the zoom links).
Looking forward to welcoming you virtually in Verona!
The Organizing Committee (Letizia Pellegrini, Roberto Renò, Cecilia Mancini, Alessandro Gnoatto, Athena Picarelli, Marco Patacca, Maria Flora)
---------- Forwarded message ----------
Date: Tue, 24 Nov 2020 21:39:58 +0100
From: Paolo Falbo <paolo.falbo(a)unibs.it>
Dear All,
we are glad to announce the sixth edition of Energy Finance
Italia. The conference will be organized by the Department of Economics
and Management of the University of Brescia and will take place on
February 22-23, 2021.
Due to the COVID-19 pandemic, at the moment we still cannot decide the
format of the conference, whether fully online or hybrid. In any case, we
will ta ke that decision in due time, and we will communicate it by means
of our web site and our newsletter.
Keynote speakers:
- Nicola Secomandi, Carnegie Mellon Tepper School of Business
"Quadratic hedging and applications to energy"
- Carlos Ruiz Mora, Univ. Carlos III of Madrid
"Strategic sales-mix management in power generation
- Eleonora Bettinzoli, ARERA
"Covid-19 and Finacial risk in the Italian electricity market"
The deadline for the submission of a long abstract (max two pages) is
*January 18, 2021*
Notification of acceptance: January 28, 2021.
Registration and payment of fees: February 8, 2021.
All the information at the link
http://energyfinanceitalia.unicam.it/index.php/energy-finance-italia-6-work…
Best regards,
Paolo Falbo
on behalf of the Organizing Committee
Buongiorno a tutti,
scrivo per diffondere l'annuncio di un'offerta di 40 borse di PhD in matematica a Parigi riservate a candidati stranieri (20 borse con inizio settembre 2021 e 20 borse con inizio settembre 2022).
Le borse sono riservate a studenti che non hanno trascorso piu' di 1 anno in Francia negli ultimi 3 anni che intendano svolgere il PhD in uno dei numerosi laboratori della Fondation Sciences Mathematiques de Paris. La data di scadenza per quest'anno e' il 13 febbraio 2021.
Il sito del bando
https://www.sciencesmaths-paris.fr/fr/cofund-mathinparis-842.htm
Per ulteriori informazioni, i candidati interessati possono contattarmi direttamente via mail.
buon anno a tutti
Cristina Toninelli
MathInParis2020 - sciencesmaths-paris.fr<https://www.sciencesmaths-paris.fr/fr/cofund-mathinparis-842.htm>
Eligibility criteria. Mobility rule: Applicants may not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the three years immediately before the deadline of the co-funded program's call, i.e. from the 13 th of February 2018 to the 13 th of February 2021. Early-stage researchers: Candidates must have a master’s degree or an equivalent ...
www.sciencesmaths-paris.fr
---------------------------------------------------------------------------------------------
Cristina Toninelli
Postal Address: Ceremade
Univ.Paris Dauphine
Place du Marechal de Lattre de Tassigny
75775 Paris Cedex 16 - France
Office: B617
--------------------------------------------------------------------------------------------
Forwardo messaggio in merito al OWPS
Saluti
Alessandra
---------- Forwarded message ---------
Da: Amanda Turner <turneramanda(a)gmail.com>
Date: gio 7 gen 2021 alle ore 11:58
Subject: [owps] One World Probability Seminar - Spring Series
To: <owps(a)lists.bath.ac.uk>
Dear all,
This email is to inform you that the spring series of the OWPS will start
on January 14, beginning with talks by Thomas Leblé (Paris) and Sylvia
Serfaty (NYU Courant).
The seminars will take place each Thursday at 14:00-16:00 UTC on Zoom. A
detailed announcement will be sent to the mailing list on Wednesday.
The website
https://www.owprobability.org/one-world-probability-seminar
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.owpro…>
will shortly be updated with information on the seminars.
Finally, it is our pleasure to thank Ivan Corwin and Milton Jara for
organizing the previous OWPS series.
Wishing you a happy new year,
Amanda and Alessandra
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
[English version below]
Il Dipartimento di Matematica dell'Università di Trento organizza
all'interno del corso di laurea magistrale in Matematica, percorso
Matematica per la Data Science, il crash course
Reinforcement Learning: the way machines learn
tenuto dal Prof. Maurizio Parton (Università di Chieti-Pescara),
nei giorni 27, 29 gennaio e 3, 5 febbraio 2021.
Il corso sarà in remoto e in lingua inglese.
La partecipazione è gratuita, ma è necessaria la registrazione, mandando
un'email a luigiamedeo.bianchi(a)unitn.it
Il numero di posti disponibili per partecipanti esterni è limitato.
Ulteriori informazioni alla pagina
http://datascience.maths.unitn.it/events/rl2021/
The Department of Mathematics at the University of Trento organises
within the Master's program in Mathematics, track Mathematics for Data
Science, the crash course
Reinforcement Learning: the way machines learn
held by Prof. Maurizio Parton (University of Chieti-Pescara),
on Jan. 27 and 29, and Feb. 3 and 5, 2021.
The course will take place online and will be given in English.
Participation is free of charge, but registration is required. To
register, send an email to
luigiamedeo.bianchi(a)unitn.it
The number of places available for external participants is limited.
Abstract:
Reinforcement Learning (RL) is a machine learning technique where an
agent learns to solve a decision problem by performing actions and
assessing their results. RL has been acknowledged as a breakthrough
technology by MIT in 2017. We will study the fundamentals of RL and will
sketch the latest methods used to solve a variety of complex tasks, from
gaming to computer science, finance, and robotics. This is a 12h crash
course intended for students with a background in probability. The
course is comprised of theory, applications and assignments. Some
experience with Python may prove useful to fully profit from the
exercises and assignments.
Further information available on the following webpage:
http://datascience.maths.unitn.it/events/rl2021/
Ricevo e inoltro, si noti che la scadenza è domani.
-------------------------------------------
Would you like to gain hands-on experience of Reinforcement Learning? Take part in testing RangL, a brand new open-source competition platform to accelerate progress in data-driven control problems, especially in the context of energy and transportation systems.
Reinforcement Learning challenge
18-25 Jan 2021
The Alan Turing Institute
• Free entry
• Individuals and teams (two or more people) can apply
• Three levels of difficulty available
• All successful invitees supported with ‘Ask away!’ channel on Slack
• Certificate of participation included
Contact: rangl(a)turing.ac.uk before 8 January 2021. Participation is by invitation only so early application is advised.
Check out the project web page at https://www.turing.ac.uk/research/research-projects/ai-control-problems
=================================
Alessandro Zocca (he/his)
Assistant Professor
Vrije Universiteit Amsterdam
Department of Mathematics
https://sites.google.com/site/zoccaale/
Two CDPF scholarships are available for candidates interested in copula modeling.
Mixed High-Dimensional Copulas for Multivariate Time Series in Public Health
Supervisor: Bruno Rémillard, HEC Montréal
Co-Supervisor: Bouchra Nasri, Université de Montréal
Applications of Long-Memory Models and Copulas to the Reconstruction of Millennial Streamflow Levels
Supervisor: Rafal Kulik, University of Ottawa
Co-Supervisor: Bruno Rémillard, HEC Montréal
The details are given in the following website:
http://www.canssi.ca/research-and-training-opportunities/canssi-postdoctora… <http://www.canssi.ca/research-and-training-opportunities/canssi-postdoctora…>
where other different projects can be found.
Applications are due by January 19, 2021.
Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on January 15 at 14.30 by the zoom platform.
________________________________________________________
Speaker: Giacomo Di Gesù (Università di Pisa)
Title: Metastability for an SPDE via functional inequalities
15 JANUARY (Friday) - 14:30 zoom link: TBA
(available on the webpage https://www.math.unipd.it/~bianchi/seminari/ )
Abstract: We consider a small perturbation by space-time Gaussian white
noise of the Allen-Cahn equation.
The latter is a nonlinear PDE, which can be seen as a gradient flow with
respect to a double-well potential.
The perturbed stochastic evolution is then a paradigmatic model exhibiting
metastable dynamics:
before exploring the full state space and reaching equilibrium, the system
remains localized at the bottom
of one well for a very long time.
In the talk I will present a general approach to get metastability
estimates in this infinite-dimensional setting.
The focus is on sharp estimates that go beyond rough large deviation
asymptotics and that are crucial
for deriving coarse-grained effective dynamics. A key ingredient of the
method is the systematic use of
log-Sobolev inequalities in order to lift tunnelling calculations to
infinite dimensions.
As a main application we show how to compute the leading asymptotic
behavior of the exponentially small spectral gap.
We obtain an explicit formula expressed in terms of a certain Fredhom
determinant as prefactor.
This result shows that the gap behaves like the inverse of the average
tunnelling time between wells
and provides an alternative, spectral-theoretic way to prove the
Eyring-Kramers formula.
Based on joint work with Morris Brooks (IST Austria).
--
Alessandra Bianchi
Dip. di Matematica
Università di Padova
Via Trieste, 63 - 35121 Padova, Italy
phone: +39 049 827 14 06
fax: +39 049 827 14 28
e-mail: bianchi(a)math.unipd.it
http://www.math.unipd.it/~bianchi/
Ricevo da Luca Avena (Leiden) e con piacere inoltro
Saluti
Alessandra
---------- Forwarded message ---------
Da: Avena, L. <l.avena(a)math.leidenuniv.nl>
Date: mar 5 gen 2021 alle ore 14:00
Subject: Vacancies in Leiden: 15 PhDs and postdocs in Mathematics, deadline
January 31, 2021
Dear friends and colleagues,
The very best wishes for a better 2021 to all of you!
I would like to ask you to advertise within your network of potentially
interested colleagues and students, 15 open vacancies for PhDs and Postdocs
at our Math department in Leiden with deadline end of January.
The application description can be found at this link:
https://www.universiteitleiden.nl/en/vacancies/2020/q4/20-572-phd-candidate…
Thanks for the attention and see you hopefully soon.
Sincerely,
Luca
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Buongiorno,
in merito all'assegno di ricerca biennale con bando
https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf
<https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf>
presso
il Dipartimento di Matematica - La Sapienza (già pubblicizzato in questa
mailing list), vi mando dei dati aggiuntivi in Inglese a supporto di
potenziali candidati stranieri.
Saluti
Alessandra
- Position: Assegno di Ricerca, *which is the equivalent of a post-doc
position*.
- Degree required at the moment of application: PhD.
- Institution: Dipartimento di Matematica “Guido Castelnuovo”, SAPIENZA
Università di Roma (https://www.mat.uniroma1.it/).
- Field: Mathematics and its applications.
- Duration: 2 years.
- Estimated gross salary: 22.600 EUR per year (which corresponds to a
net wage of about 1650 EUR per month).
- Teaching load: no teaching duties.
- Expected starting: Summer/Autumn 2021.
Here is the link for the official call (unfortunately in Italian only):
https://web.uniroma1.it/trasparenza/sites/default/files/bando2020-8.pdf
Applications shall be sent by registered letter, attested by an
acknowledgment of receipt, or *by PEC*, the *deadline being January 20th,
2021* (the postmark serving as proof).
For those of you who cannot speak/understand Italian, further information
and/or assistance with the application process can be found at the URL
https://sites.google.com/uniroma1.it/istruzioni-inglese-bando8-2020/guideto…
The above link will also appear soon on the webpage of the Department of
Mathematics.
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Dear colleagues,
applications are invited for assistant professor (Tenure Track) position in Statistics
at the Mathematical Institutes, Leiden University.
We are looking for candidates with a strong background in
Mathematical Statistics/Statistics or Probability and
interest in statistical methodology and/or applications.
More details about the application procedure can be found at
https://www.universiteitleiden.nl/en/vacancies/2020/q4/20-573-assistant-pro…
Closing date 15-th January
For information please contact Marta Fiocco m.fiocco(a)math.leidenuniv.nl
Anna Maria Paganoni
MOX - Modeling and Scientific Computing
Dipartimento di Matematica "F. Brioschi"
Politecnico di Milano
Piazza Leonardo da Vinci, 32
I-20133 Milano - Italy
tel. +39 02 2399 4574
fax. +39 02 2399 4568
e.mail: anna.paganoni(a)polimi.it
(aggiungo che il sito del master è https://md2sl.imtlucca.it/)
-------- Messaggio Inoltrato --------
Oggetto: Borse di studio per Master Data Science and Statistical
Learning (MD2SL)
Data: Thu, 24 Dec 2020 10:03:30 +0100
Mittente: datascience(a)unifi.it
Organizzazione: Universita' degli Studi di Firenze
A: datascience(a)unifi.it
Cari tutti,
vi segnaliamo che è stato pubblicato il bando di selezione per il
conferimento di *due Borse di Studio* finalizzate all'iscrizione al
*Master di II livello in Data Science and Statistical Learning (MD2SL)*,
promosso dal Florence Center for Data Science, attraverso il
Dipartimento di Statistica, Informatica, Applicazioni (DISIA) "G.
Parenti" dell'Università degli Studi di Firenze, e dalla Scuola IMT Alti
Studi Lucca.
Il bando e ulteriori dettagli sono disponibili al seguente link:
https://www.disia.unifi.it/upload/sub/didattica/master/disia_Bando_Borse_Ma…
<https://www.disia.unifi.it/upload/sub/didattica/master/disia_Bando_Borse_Ma…>,
e sul sito del Florence Center for Data Science, tra le News:
https://datascience.unifi.it/index.php/news/
<https://datascience.unifi.it/index.php/news/>.
Scadenza per la presentazione delle domande: 14/01/2021 ore 13.00.
Vi chiediamo gentilmente di diffondere l'annuncio tra i potenziali
interessati.
Grazie,
Cordiali Saluti,
Florence Center for Data Science
Inoltro a tutti gli interessati il seguente annuncio (la posizione è quella
attualmente occupata da Wolfgang Woess).
********************************************************************************
Full professor "Discrete Mathematics and Probability", TU Graz
TU Graz is looking to appoint a tenured full professor of Discrete
Mathematics and Probability, starting October 2022. We are looking for a
highly qualified individual of international standing who has an excellent
research profile and is committed to represent the intersection of
Discrete Mathematics and Probability in both teaching and research.
For more information please see the web apge
https://www.tugraz.at/go/professorships-vacancies. Applications must be
sent to the email address bewerbungen.mpug(a)tugraz.at no later than March
31, 2021.
---------------------------------------------------------------------
Johannes Wallner Tel (+43) 316 873 8440
Institut fuer Geometrie der TU Graz,
Kopernikusgasse 24, 8010 Graz.
j.wallner(a)tugraz.at http://www.geometrie.tugraz.at/wallner
--------------------------------- ------------------------------------
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Joint initiative with
MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network>
Giovedi 17 Dicembre 2020, alle ore 17:00, si terrà il seguente webinar:
------------------------------------------------
Speaker: *David Rossell *(Universitat Pompeu Fabra, Barcelona, Spain)
Title: *Approximate Laplace approximation*
Zoom link:
https://us02web.zoom.us/j/84312531120?pwd=VVJraStLVkR2M0w0ZXZnU3M0MFp2UT09
<https://us02web.zoom.us/j/88252069649?pwd=V2Z3b1UrZVVWNWZ4OXhydUtIakxpUT09>
Meeting ID: 843 1253 1120
Passcode: 105560
Abstract:
Bayesian model selection requires an integration exercise in order to
assign posterior model probabilities to each candidate model. The
computation becomes cumbersome when the integral has no closed-form,
particularly when the sample size is large, or the number of models is
large. We present a simple yet powerful idea based on the Laplace
approximation (LA) to an integral. LA uses a quadratic Taylor expansion at
the mode of the integrand and is typically quite accurate, but requires
cumbersome likelihood evaluations (for large n) an optimization (for large
p). We propose the approximate Laplace approximation (ALA), which uses an
Taylor expansion at the null parameter value. ALA brings very significant
speed-ups by avoiding optimizations altogether, and evaluating likelihoods
via sufficient statistics. ALA is an approximate inference method equipped
with strong model selection properties in the family of non-linear GLMs,
attaining comparable rates to exact computation. When (inevitably) the
model is misspecified the ALA rates can actually be faster than for exact
computation, depending on the type of misspecification. We show examples in
non-linear Gaussian regression with non-local priors, for which no
closed-form integral exists, as well as non-linear logistic, Poisson and
survival regression.
------------------------------------------------
Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
in collaborazione con il Collegio Carlo Alberto e rientra nel Complex Data
Modeling Research Network
midas.mat.uc.cl/network
Cordiali saluti,
Pierpaolo De Blasi
---
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Dear colleagues,
I’d like to draw your attention to the following open positions (one PhD and one Post-Doc) in Berlin. Please, feel free to forward this announcement to anyone who might be interested.
"The Weierstrass Institute in Berlin (WIAS) invites applications for a two positions, one at post-doctoral level and one for a PhD student. Both positions are in the newly founded Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks” (Head: Dr. B. Jahnel); the positions are available immediately.
The successful candidates will perform rigorous probabilistic and analytic mathematical work on dynamical spatial random geometric systems as models for future telecommunication networks, in collaboration with other group members and partners at WIAS, in industry and in academia. The research results shall be published in scientific journals and technical reports, and presented at conferences.
The applicants must at a minimum hold a master’s degree in mathematics or related fields with high emphasis on probability. For the post-doctoral position a PhD in mathematics should be completed or very close to completion. Knowledge in statistical physics, interacting particle systems, or stochastic geometry will be important.
Please direct scientific queries to Dr. B. Jahnel (Jahnel(a)wias-berlin.de <mailto:Jahnel@wias-berlin.de>).
The appointment is initially limited for 24 months. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale.
Please see the following links for more information and in order to apply: https://short.sg/j/8332092 <https://short.sg/j/8332092> (post-doc) and https://short.sg/j/8331747 <https://short.sg/j/8331747> (PhD).
Please note that the deadline for applications is 31 December.”
Best wishes,
Luisa Andreis
Post-Doc researcher
WIAS-Weierstrass Institute
Mohrenstrasse 39, 10117 Berlin, Germany
Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home>
Email: andreis(a)wias-berlin.de
Diffondo su richiesta del collega Bernardo D'Auria un annuncio di posti per:
Assistant Professor positions (tenure-track) in the Department of
Statistics,
Universidad Carlos III de Madrid
scadenza: 28 febbraio 2021
per dettagli: http://halweb.uc3m.es/seminarios/conv-tenure-track.pdf
Cordiali saluti
=============================================
Antonio Di Crescenzo
Dipartimento di Matematica
Università degli Studi di Salerno
Via Giovanni Paolo II, n. 132
<https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…>
84084 Fisciano (SA)
Italy
Tel. +39-089-963349
E-mail(1): adicrescenzo(a)unisa.it
E-mail(2): adicresc(a)gmail.com
Web: http://www.unisa.it/docenti/antoniodicrescenzo/index
Skype: antoniodicrescenzo
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