Carissimi
nei pomeriggi dei giorni 1-2 e 8-9 Luglio si terrà in modalità online
un workshop dal titolo:
"Kick-Off Meeting of Prin 2017 Project: Stochastic Models for Complex Systems"
(PRIN articolato nelle sedi di Lecce, Salerno e Napoli)
dedicato alla presentazione dei primi risultati scientifici ottenuti
nell'ambito del progetto. Per tutti i dettagli vi invitiamo a
collegarvi al sito dedicato seguendo il link qui sotto:
https://sites.google.com/view/kick-off-meeting/home
Cari saluti
Roberta Schiattarella, Mariella Longobardi, Nello Buonocore,
Igia Caputo, Enrica Pirozzi.
--
Enrica Pirozzi
Dipartimento di Matematica e Applicazioni
Universita' di Napoli FEDERICO II
Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY
Tel. 081 675634
https://www.docenti.unina.it/ENRICA.PIROZZI
Caro Collega,
la Scuola IMT Lucca (www.imtlucca.it) sta valutando l'opportunità di
bandire a breve una posizione di ricercatore a tempo determinato di tipo B
nell'area del Machine Learning. Dato che il tema è affrontato da varie
comunità scientifiche, il settore scientifico disciplinare nel quale
bandire verrà scelto a valle della raccolta di espressioni di interesse.
Chiunque fosse interessato alla posizione di cui sopra è pregato di inviare
al decano, Prof. Rocco De Nicola (rocco.denicola(a)imtlucca.it) un cv e un
breve *statement* motivazionale, *preferibilmente entro il 15 giugno 2020.*
Di seguito riporto il profilo che è stato recentemente deliberato dagli
organi della Scuola. Pregherei di inoltrare questo messaggio a chiunque
fosse a conoscenza di potenziali interessati.
Rimango a disposizione per qualsiasi altro dettaglio.
Cari saluti,
Irene Crimaldi
--------PROFILO:
L'assunzione di un esperto di Machine Learning è finalizzata ad accrescere
le competenze sui metodi quantitativi per lo sviluppo di modelli di sistemi
dinamici e alla loro previsione, regolazione e ottimizzazione, della Scuola
IMT. Questa figura da un lato alimenterà l’arsenale di competenze
metodologiche della Scuola e dall'altro lato sarà funzionale a fornire
strumenti quantitativi alle aree dell'economia e del management nonché
dell'analisi e gestione del patrimonio, delle attività e dei fenomeni
culturali. Il ricercatore, oltre a consolidate conoscenze ed ottime
pubblicazioni nel settore del machine learning, con particolare riferimento
alle tematiche dell’apprendimento basato su reti neurali e alberi
decisionali, dell’identificazione di sistemi dinamici, degli algoritmi di
ottimizzazione, della regressione e all’analisi statistica multivariata,
dovrà dimostrare la capacità di applicare le proprie competenze a problemi
reali e di collaborare in attività di ricerca di tipo multidisciplinare.
Prego di dare la massima diffusione presso i potenziali interessati
ITA
E' uscito il bando di ammissione al 36esimo ciclo di dottorato presso il Politecnico di Milano,
con scadenza il ** 29 Maggio, ore 14 **
http://www.dottorato.polimi.it/fileadmin/files/dottorato/concorso_linkweb/B…
Sono disponibili varie borse in area Statistica / Data Science.
Nell'ambito del dottorato in Metodi e Modelli Matematici per l'Ingegneria sono disponibili 8 borse libere, per le quali i candidati possono proporre progetti in area Statistica / Data Science
Contatti: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it
Nell'ambito del dottorato in Data Analytics and Decision Sciences sono disponibili le borse
- "Patient representation methods for risk stratification in oncology"
Contatto: francesca.ieva(a)polimi.it
- "Impact Analysis in Real World Clinical Oncology"
Contatto: anna.paganoni(a)polimi.it
- "Learning analytics to support policies and managerial decision making in educational institutions"
Contatto: anna.paganoni(a)polimi.it
- “Cyber-Capital and impact on the urban rent”
Contatti: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it
- "Neurosciences and genomics: advanced data analytic methods"
Contatto: laura.sangalli(a)polimi.it
ENGLISH:
Several fellowships are available for a PhD in the area of Statistics / Data Science at Politecnico di Milano, Italy:
Call: http://www.dottorato.polimi.it/en/
Deadline for applications: 29 May 2020 at 14:00, Italian time
Within the PhD program in Mathematical Models and Methods in Engineering 8 fellowships are available in the generic field of Mathematics and Statistics, that can be targeted to Statistics / Data Science
Contacts: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it
Within the PhD program in Data Analytics and Decision Sciences fellowships on the following topics are available:
- "Patient representation methods for risk stratification in oncology"
Contact: francesca.ieva(a)polimi.it
- "Impact Analysis in Real World Clinical Oncology"
Contact: anna.paganoni(a)polimi.it
- "Learning analytics to support policies and managerial decision making in educational institutions"
Contact: anna.paganoni(a)polimi.it
- “Cyber-Capital and impact on the urban rent”
Contacts: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it
- "Neurosciences and genomics: advanced data analytic methods"
Contact: laura.sangalli(a)polimi.it
——
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
url: http://mox.polimi.it/~sangalli
*2020/21 PhD Programs at the IMT School for Advanced Studies Lucca*
Deadline for applications – July 10th 2020, 12 pm CEST
Applications are now being accepted for the 2020/21 PhD Programs at the IMT
School for Advanced Studies Lucca (www.imtlucca.it), one of the six Schools
of Excellence in Italy and one of the highest rated graduate schools in
Europe according to the most recent U-Multirank survey. Highly motivated
candidates from all disciplines are invited to apply for one of the *32
fully-funded positions.* The 32 scholarships are equally divided between
the two doctoral Programs that integrate scientific competences of
economics, engineering, computer science, neuroscience and behavioral
psychology, physics, applied mathematics, statistics, history and sciences
of cultural heritage.
*Economics, Networks and Business Analytics* is one of the four
field-specific tracks offered and is under the “Systems Science” PhD
Program. This Track provides participants with a solid knowledge on modern
analytical methods in economics and management. With its multidisciplinary
approach, the track is unique in its deployment of a strong integration of
concepts, analytical foundations, and practical expertise, to educate the
new generation
of economists, scientists and practitioners with distinctive capabilities
in analyzing, interpreting, and managing complex socio-economic systems.
Graduates will be trained to become researchers and decision makers in
academia, policy and industry by integrating knowledge at the boundary of
Economics, Statistical Physics, Computer and Social Sciences with the
unifying language of Mathematics and Statistics. Close associations with a
selected set of companies and institutions provide the opportunity to
analyze relevant problems, motivating new
analytical techniques from practical problem solving. Students are involved
in the analysis of real world high dimensional data, in collaboration with
companies and institutions. During their doctoral studies, students are
encouraged to carry out their research with the School’s Research Units.
ENBA students also have the possibility of completing their theses under
the joint supervision (Double-degree) with KU Leuven or the University of
Alicante.
Courses are led by world-renowned researchers and provide students with all
the theoretical skills and advanced tools required for rigorously tackling
a multitude of analysis, design and management problems within the broad
framework of systems analysis in economic, social, scientific,
technological and cultural domains. Specialized faculty and staff create a
network that provides key guidance and support throughout the PhD Program.
Working closely with faculty, both in the classroom and in the development
of research, students reach the highest levels of
scholarly achievement. IMT School PhD graduates will be able to use the
skills they acquired during their studies to recognize and resolve complex
problems, to choose the most appropriate method or instrument to utilize
when approaching these problems, even in disciplines outside of their
primary field of research.
All students are based in the recently restored San Francesco complex, *a
fully integrated Campus* in the historical center of the beautiful Tuscan
city of Lucca. The Campus includes renewed residential facilities, an
on-site canteen, study and living rooms, a state-of-the-art library and
outdoor recreational spaces, which foster a unique cultural,professional
and social environment for our doctoral program. Eligible students, in
addition to
*free room and*
*board,* will also receive a *research scholarship which amounts to
approximately €15,300/year. *The scholarships are *fully-funded for up to
four years,* with a possibility of graduating after the third year.
The PhD Programs at the IMT School attracts students from around the world,
providing a truly international environment. English is the official
language of the School. Moreover, all students will have the opportunity to
spend periods abroad at research institutes, laboratories or universities,
both within the Erasmus+ framework and through ad hoc mobility agreements.
Most IMT School PhD Graduates have reached prominent roles in academics,
governmental institutions, public and private companies or professions
across the globe.
To find out more about the School, the admission requirements and how to
apply, please visit the following link:
https://www.imtlucca.it/en/phd/information-for-students
*Deadline for applications – July 10th 2020, 12 pm CEST*
Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the
latest news.
*Advertiser: Department of Economics, Ca' Foscari University Venice
(Università Ca’ Foscari)**
**Field(s) of specialization: Econometrics*
Position type(s): Research Assistant
Target date for applications: 25 May 2020
Application deadline: 31 May 2020 (accepting applications)
CALL OF INTEREST
POSITIONS AS RESEARCH FELLOW AT ITALIAN UNIVERSITIES:
University of Bologna, *Ca' Foscari University*, Free University of
Bozen-Bolzano
Under the Italian PRIN Project entitled “Hi-di network econometric
analysis of high dimensional models with network structures in
macroeconomics and finance – PROT. 2017TA7TYC” funded by the Italian
Ministry of Education, the Departments of Economics at the University of
Bologna, the *Department of Economics of the Ca’ Foscari University of
Venice* and the Faculty of Economics and Management at Free University
of Bozen-Bolzano are opening a call of interest for three positions as
Research Fellow (one position for each university). The positions will
be funded by the project up to 24 months.
The research project covers the following topics:
*(i) Development of novel multivariate econometric models and methods
able to deal with network effects and to take into account time varying
relationships. Attention will be paid on how latent factors drive
economic systems and are subject to instability. Their roles will be
studied and compared in the pre- and post-coronavirus era.**
*
*(ii) Analysis of interconnected networks: either physical or intangible
networks, observed or estimated. Results will expand academic knowledge
on statistical modelling of network event data in a broad range of areas
including, but not limited to, social media information diffusion,
economic/financial crises contagion and epidemic/disease spread
phaenomena.**
*
(iii) Economic impact of uncertainty: uncertainty is expected to act as
a key driving factor in the aftermath of the covid-19 shock and the
focus will be also on the policy actions necessary at the macro level to
offset the economic consequences of a shock of size never experienced by
world economies after WW2.
Interested researchers can express their willingness to apply not later
than 31st May 2020. Applications should include the CV of the candidate
a short research proposal related to the topics covered by the project,
and the indication of the University where the research activity will be
carried out.
For further information please contact:
*- Monica Billio (billio(a)unive.it) - Department of Economics of the Ca’
Foscari University of Venice**
*
- Giuseppe Cavaliere (giuseppe.cavaliere(a)unibo.it) - Departments of
Economics at the University of Bologna
- Francesco Ravazzolo (francescoravazzolo(a)unibz.it) - Faculty of
Economics and Management at Free University of Bozen-Bolzano
--
Roberto Casarin, PhD
Professor of Econometrics
University Ca' Foscari, Venice
Address: San Giobbe 873/b
30121 Venezia, Italy
Phone: +39 041.234.91.49
Web: http://sites.google.com/view/robertocasarin/
IMEF: http://www.unive.it/imef
VERA: http://www.unive.it/vera
ORCID: https://orcid.org/0000-0003-1746-9190
--
Questa e-mail è stata controllata per individuare virus con Avast antivirus.
https://www.avast.com/antivirus
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/research/webinars/>
Venerdì 22 Maggio 2020, alle ore 12:00, si terrà il seguente webinar:
------------------------------------------------
Pierre JACOB (Harvard University)
*Unbiased Markov chain Monte Carlo with couplings*
Abstract:
Various tasks in statistics involve numerical integration, for which Markov
chain Monte Carlo (MCMC) methods are state-of-the-art. MCMC methods yield
estimators that converge to integrals of interest in the limit of the
number of iterations. This iterative asymptotic justification is not ideal;
first, it stands at odds with current trends in computing hardware, with
increasingly parallel architectures; secondly, the choice of "burn-in" or
"warm-up" is arduous. This talk will describe recently proposed estimators
that are unbiased for the expectations of interest while having a finite
computing cost and a finite variance. They can thus be generated
independently in parallel and averaged over. The method also provides
practical upper bounds on the distance (e.g. total variation) between the
marginal distribution of the chain at a finite step and its invariant
distribution. The key idea is to generate "faithful" couplings of Markov
chains, whereby pairs of chains coalesce after a random number of
iterations. This talk will provide an overview of this line of research.
(joint work with John O'Leary, Yves Atchadé)
Paper at:
https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12336
------------------------------------------------
Chiunque volesse collegarsi al webinar è pregato di inviare una email entro
mercoledi 20 Maggio a
pierpaolo.deblasi(a)unito.it
Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
in collaborazione con il Collegio Carlo Alberto.
Cordiali saluti,
Pierpaolo De Blasi
---
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
ricevo ed inoltro:
Dear colleague,
we hope that you are in good health.You have registered for the conference
"Random Matrices and Their Applications" (RMTA) which was supposed to take
place in New York, May 25-29 2020.
Due to the Covid-19 outbreak, the conference will be reorganized online.
You can check the tentative schedule on the new website:
https://www.ceremade.dauphine.fr/dokuwiki/mega:e-rmta-2020
<https://slack-redir.net/link?url=https%3A%2F%2Fwww.ceremade.dauphine.fr%2Fd…>
We apologize for those of you who were supposed to present a poster: the
poster session has been cancelled.Meanwhile, if you are interested to
participate to the online RMTA conference, please register on the new
website.
Registration is free but mandatory to get the access details.
We are looking forward to meeting you online!Best regards,Paul Bourgade,
Djalil Chafaï,
Alice Guionnet,
Jamal Najim.
Ricevo ed inoltro.
MQ
14 PhD Positions in Stochastics and Algorithmics in NETWORKS (the Netherlands)
The NETWORKS project is a collaboration of world-leading researchers from four institutions in The Netherlands: TU Eindhoven <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…>, University of Amsterdam <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fyoutu.be%…>, Leiden University <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…> and the Centrum Wiskunde & Informatica (CWI) <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…>. Research in NETWORKS focuses on stochastics and algorithmics for network problems. NETWORKS offers a highly stimulating research environment and an extensive training program for PhD students.
Recently NETWORKS was awarded a COFUND grant the Marie Skłodowska-Curie Actions, funded by the European Commission. The grant allows NETWORKS to expand its activities by opening positions for an additional 14 PhD students. As a NETWORKS-COFUND PhD student you can define your own PhD project in one of the research areas mentioned above, in collaboration with your NETWORKS supervisors.
Application deadline
31 May 2020
Contract
full time employment contract for 4 years
Salary indication
from €2.325 to €2.972 in 4 years
Location
The Netherlands (Amsterdam, Eindhoven, Leiden)
Are you interested in the stochastics and algorithmics behind network problems? And would you like to be part of this project with its many activities? Then go to https://www.thenetworkcenter.nl/Open-Positions/openposition/29/14-PhD-Posit… <https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thene…>
On this website you can find an extensive information package about these positions, including further details about the application procedure.
Cari colleghi,
vi chiedo di far circolare la notizia che il Politecnico di Torino,
congiuntamente con L'Università di Torino e l'Indam offre 8 posizioni di
dottorato.
La domanda deve pervenire entro il 30 Aprile.
http://dottorato.polito.it/en/call_for_applications
Applicazioni di studenti interessati alla probabilità e alla statistica
sono naturalmente benvenute.
Cordiali saluti, Enrico
Enrico Bibbona
Associate Professor of Statistics
Probability, Statistics and Optimization group
Department of Mathematical Sciences "G. L Lagrange"
Politecnico di Torino