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