Dipartimento di Matematica, Università di Roma “Tor Vergata”
PhD School in Mathematics
Announcement of a PhD course (10 hours, online)
Paolo Pigato (Università di Roma "Tor Vergata", WIAS Berlin): Fractional Brownian motion and non-Markovian modeling
Abstract. In several applications of stochastic analysis (financial engineering, telecommunication networks, ...), it is desirable to model real-world quantities which are non-Markovian, for example because the noise process exhibits slowly decaying auto-correlations and long memory. In this course we will focus on fractional Brownian motion, a prototypical example of non-Markovian process. Such process is a generalisation of Brownian motion with Holder regularity possibly different than 1/2 and it is not a martingale. We will consider large deviations problems, simulation methods and some examples of application.
Schedule.
- Friday June 05, 2020; h. 14-16
- Tuesday June 09, 2020; h. 14-16
- Thursday June 11, 2020; h. 14-16
- Tuesday June 16, 2020; h. 14-16
- Thursday June 19, 2020; h. 14-16
Information at
http://www.mat.uniroma2.it/~dott/corsi.html <http://www.mat.uniroma2.it/~dott/corsi.html>
http://www.mat.uniroma2.it/~macci/corso-dottorato-pigato.htm <http://www.mat.uniroma2.it/~macci/corso-dottorato-pigato.htm>
How to join the course. The course will take place on the "Teams" platform. Those who do not have an account on Teams can join the course through Chrome or Edge. Please write to caramell(a)mat.uniroma2.it <mailto:caramell@mat.uniroma2.it> (subject: PhD course) to be part of the mailing list to which instructions for accessing the course will be sent.
The admission procedure for the PhD program in Computational Mathematics
and Decision Sciences at University of Pavia is now open, see
http://phd.unipv.it/call-36/
We have 6 scholarships, of which 1 reserved for foreign (non-Italian)
students.
The deadline is June 24, 2020.
Please share this call for applications with potential candidates.
Giacomo Aletti
--
-------------------------------
Giacomo Aletti, Full Professor (Probability Theory and Mathematical
Statistics)
Department of Environmental Science and Policy (ESP)
ADAMSS Centre (ex MIRIAM)
Advanced Applied Mathematical and Statistical Sciences
Università degli Studi di Milano
Via Saldini, 50
20133 Milano, Italy
Tel: +39-02-503.16158
Fax:+39-02-503.16090
Cari colleghi,
Vi segnalo numerose PhD openings nel programma NETWORKS in Olanda. Conosco personalmente i PI e il programma, e posso attestare che l’ambiente di ricerca è davvero ottimo. La scadenza è molto vicina, quindi vi invito a girare questo annuncio ai vostri studenti interessanti in probabilità applicata e/o combinatoria e/o modelli discreti. Sono a completa disposizione se voi (o i vostri studenti) avete domande specifiche.
Un caro saluto,
Gianmarco
----------------------------------------------------------------------
Gianmarco Bet
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 22
----------------------------------------------------------------------
> Begin forwarded message:
>
> From: "Mandjes, Michel via stoch-ned-l" <stoch-ned-l(a)lists.science.uu.nl>
> Subject: [stoch-ned-l] COFUND: vacancies for PhD positions
> Date: 8 May 2020 at 16:21:39 CEST
> To: "Zanten, J.H. van via stoch-ned-l" <stoch-ned-l(a)lists.science.uu.nl>
> Reply-To: "Mandjes, Michel" <m.r.h.mandjes(a)uva.nl>
>
> 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.
>
> _______________________________________________
> stoch-ned-l mailing list
> SMS-VvS+OR/
> Section Mathematical Statistics of
> The Netherlands Society for Statistics and Operations Research.
> stoch-ned-l(a)lists.science.uu.nl
> https://mailman.science.uu.nl/mailman/listinfo/stoch-ned-l
Dear All,
I hope this email finds you well.
I am writing to inform that the deadline for applications for the post
advertised below has been extended to *JUNE 05, 2020*.
Best wishes and have a nice Sunday,
Giorgio Ferrari
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
The *Center for Mathematical Economics *(Institut für Mathematische
Wirtschaftsforschung, IMW) and the *Faculty of Business Administration
and Economics* at Bielefeld University are seeking to fill the following
position as soon as possible:
*Junior Professorship (W1) in Mathematical Economics*
We are looking for outstanding, internationally visible candidates in
research and teaching who are qualified by excellent publications in one
of the research areas of the Center for Mathematical Economics.
Interdisciplinary research and teaching across faculties traditionally
plays an important role at the Center for Mathematical Economics. We
expect participation in the existing and planned joint third-party
funded projects of the Center, the Faculty of Economics and Business
Administration, and other faculties, especially in the interdisciplinary
context. The connection to the Collaborative Research Center 1283 ``
Taming Uncertainty and Profiting from Randomness ... ’’ plays an
important role for this professorship. We are looking for young
researchers who can make a significant contribution to the economic
sub-projects of the Collaborative Research Center; potential topics
include dynamic game theory (differential games, mean-field games) as
well as the analysis of financial markets (equilibrium models in
continuous time), industrial dynamics (dynamic I.O.) or complex
decisions under uncertainty (e.g. recursive dynamic utility).
Teaching is to be provided in the research-oriented Master and Bachelor
programs of the Faculty of Economics and Business Administration,
especially in Mathematical Economics.
The prerequisites for the position are a university degree, pedagogical
aptitude and the special ability for scientific work, which is usually
demonstrated by the outstanding quality of a doctorate.
The position is initially for three years, and can be extended to six
years after a positive evaluation.
Applications from suitably qualified handicapped and severely
handicapped persons are explicitly encouraged.
Bielefeld University has received a number of awards for its
achievements in the provision of equal opportunity and has been
recognized as a family-friendly university. The university welcomes
applications from women. Applications are handled according to the
state's equal opportunity statutes.
Applications with the usual documents (curriculum vitae, copies of
certificates, list of publications with identification of up to 10 most
important publications, a 2-page research and teaching concept) should
preferably be submitted till *JUNE 05**, 2020* to:
Bielefeld University
Center for Mathematical Economics (IMW)
Frau Buiwitt-Robson
Postfach 10 01 31
33501 Bielefeld
or by e-mail as a single PDF file to: IMW(a)uni-bielefeld.de
Please refrain from submitting application folders and submit
photocopies only, as the application documents will be destroyed at the
end of the selection procedure.
Please note that risks to confidentiality and unauthorized access by
third parties cannot be ruled out when communicating via unencrypted
e-mail. Information on the processing of personal data can be found at:
https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/…
--
Questa e-mail è stata controllata per individuare virus con Avast antivirus.
https://www.avast.com/antivirus
Ricevo e volentieri inoltro un annuncio di borsa di studio per un master presso Paris-Est, riservata a studenti stranieri. Per inciso, gli indirizzi del master sono:
- mathematics: mathematics of finance and data; probability theory and statistics of new data; analysis and applications (images, compressed sensing);
- computer science: imaging sciences; software; systems and services for the Internet of Things; smart systems and applications.
Saluti, Lucia
> De: "raphael danchin" <raphael.danchin(a)u-pec.fr <mailto:raphael.danchin@u-pec.fr>>
> À: "umr8050" <umr8050(a)listes.math.cnrs.fr <mailto:umr8050@listes.math.cnrs.fr>>
> Envoyé: Vendredi 22 Mai 2020 10:17:37
> Objet: [umr8050] Extension de la date limite de candidature M2 Bézout
>
>
> Dear colleague,
>
> The 2020-2021 hiring campaign for the international Bézout master's program is now open until May 28, noon (Paris time). It is directed towards excellent students in mathematics or computer science (or both) from foreign institutions willing to pursue their studies in Université Paris Est at the master level. The laureates will receive a 11-month grant of about 1300€ per month and will be proposed a room on the campus. Furthermore, the best students will then be invited to join the PhD program of the Doctoral School MSTIC (Mathematics, Sciences and Information and Communication Technology) of Université Paris-Est.
>
> The details of the program and a link to the application website can be found here: http://bezout.univ-paris-est.fr/masters-scholarships/ <http://bezout.univ-paris-est.fr/masters-scholarships/>
>
> A description of the activities of the Bézout Labex can be found in the leaflet here: http://bezout.univ-paris-est.fr/wp-content/uploads/2020/03/bezout-leaflet.p… <http://bezout.univ-paris-est.fr/wp-content/uploads/2020/03/bezout-leaflet.p…>
> Contact: Raphaël Danchin <danchin(a)u-pec.fr <mailto:danchin@u-pec.fr>>
+++++++++++++++++++++++++++++++++
Lucia Caramellino
Dipartimento di Matematica
Università di Roma “Tor Vergata”
Web: http://www.mat.uniroma2.it/~caramell <http://www.mat.uniroma2.it/~caramell>
Dear Colleagues,
please find enclosed some information on the Master of Science in Economics of the Department of Economics and Finance of the University of Rome “Tor Vergata”.
Do not hesitate to contact me if you need further information.
Best regards
Paolo Gibilisco
Associate Professor
Department of Economics and Finance
University of Rome “Tor Vergata”
Via Columbia 2, Rome, 00133, Italy
Phone: +39-06-72595956
Email: paolo.gibilisco(a)uniroma2.it <mailto:paolo.gibilisco@uniroma2.it>
Home page: https://economia.uniroma2.it/def/faculty/142/gibilisco-paolo <https://economia.uniroma2.it/def/faculty/142/gibilisco-paolo#>
-----------------------------------------------------------------------------------------------------
Dear Colleague,
I am pleased to announce the 2020/2021 edition of the Master of Science in Economics <https://economia.uniroma2.it/master-science/economics> at the Department of Economics and Finance of Tor Vergata University of Rome. I would be grateful if you could help me spread the information about our program and recommend us to your most talented and motivated students.
The MSc Economics (LM-56) is a two-year graduate program entirely taught in English and designed for highly qualified students. It provides students with a thorough knowledge and understanding of the concepts, tools and methods of economics, together with the application of these methods to the analysis of economic problems.
We are committed to providing our students with high quality teaching from some of the best in the Department, which was recognized as a department of excellence by the MIUR. We have already prepared contingency plans, including options for studying remotely, in the event that our standard practices must be changed due to the COVID-19 epidemic. An important characteristic of the program is that we follow our students closely. They are provided with academic support and a personal tutor who follows them throughout the entire program. Moreover, annual extra-curricular initiatives are organized to strengthen their professional skills and to allow easy access to employment or further academic opportunities.
We offer study grants for the best students enrolling in the first year as well as monetary awards to the best-performing first-year students. Selected second-year students have the opportunity to attend a Dual Degree Program in partnership with the University of Gothenburg or the University of Konstanz. Additional funding is also awarded to students to encourage participation in Summer Schools, database purchases, GRE test and MATLAB Associate Level Certification.
The MSc Economics is the ideal program for those who want to acquire advanced analytical skills to pursue a career in national and international institutions, or who want to prepare for a Ph.D. program in Economics. The excellent placement of our graduates may be consulted on the employment statistics page <https://economia.uniroma2.it/master-science/economics/employment-statistics…> and on the Alumni page <https://economia.uniroma2.it/master-science/economics/Alu/> of our website.
Applications are currently open for the 2020/2021 academic year. The application deadline is June 30, 2020 for non-EU students and August 16, 2020 for EU students. The Call for applications is available here <https://economia.uniroma2.it/master-science/economics/admissions/>, feel free to share this link with interested candidates and other colleagues from your institution.
I will be available to provide additional information during the Online Open Day on June 16, 2020 <https://economia.uniroma2.it/cal/855/msc-economics-online-open-day#.XsVCUC-…> at 5pm on Microsoft Teams.
Should you wish to have additional information or discuss anything related to the program, please do not hesitate to contact me.
Best regards,
Alberto Iozzi
Master of Science in Economics, Director
-----------------------------------------------------------------
Prof. Alberto Iozzi
Department of Economics and Finance
Tor Vergata University of Rome
Via Columbia 2, 00133 Rome - Italy
Tel. +39 06 7259 5923
Fax + 39 06 2040 219
Webpage: sites.google.com/view/albertoiozzi/home <https://sites.google.com/view/albertoiozzi/home>
----------------------------------------------------------------
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/research/webinars/>
Venerdì 29 Maggio 2020, alle ore 15:00, si terrà il seguente webinar:
------------------------------------------------
Tommaso RIGON (Duke University)
*A generalized Bayes framework for probabilistic clustering*
Abstract:
Clustering methods such as k-means and its variants are standard tools for
finding groups in the data. However, despite their huge popularity, the
underlying uncertainty can not be easily quantified. On the other hand,
mixture models represent a well-established inferential tool for
probabilistic clustering, but they are characterized by severe
computational bottlenecks and may have unreliable solutions in presence of
misspecifications. Instead, we rely on a generalized Bayes framework for
probabilistic clustering based on Gibbs posteriors. Broadly speaking, in
such a setting the log-likelihood is replaced by an arbitrary loss function
and this arguably leads to much richer families of clustering methods. Our
contribution is two-fold: first, we describe a clustering pipeline for
efficiently finding groups and then quantifying the associated uncertainty.
Second, we discuss two broad classes of loss functions which have
advantages in terms of analytic tractability and interpretability.
Specifically, we consider losses based on Bregman divergences and pairwise
dissimilarities and we show they can be interpreted as profile and
composite log-likelihoods, respectively. Full Bayesian inference is
conducted via Gibbs sampling but efficient deterministic algorithms are
available for point estimation. As an important byproduct of our work, we
show that several existing clustering approaches can be interpreted as
generalized Bayesian estimators under specific loss functions. Hence, our
methodology can be also used to formally quantify the uncertainty in widely
used clustering approaches.
(joint work with Amy Herring and David Dunson, Duke University)
------------------------------------------------
Chiunque volesse collegarsi al webinar è pregato di inviare una email entro
mercoledi 27 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/>
Car* collegh*,
vi segnalo questo evento on-line:
LMS Invited Lecture Series 2020
Fractional Calculus and Fractional Stochastic Calculus, Including
Rough-Paths, with Applications, 15 Jun, 09:00 – 19 Jun, 16:00
https://www.lms2020.boguslavsky.net/
con lezioni di Yulia Mishura, Taras Shevchenko National University of Kyiv,
Ukraine e vari seminari su temi correlati.
Dalla pagina web e' possibile registrarsi.
Cordiali saluti,
Enrico Scalas
Dear Colleagues,
I would like to bring to your attention a postdoc opening (University
Assistant) in Vienna, details are below.
Kind regards
Ulisse Stefanelli
************************************************
The Faculty of Mathematics of the University of Vienna is inviting
applications for a University-Assistant position (postdoc), limited to 3
years. We are looking for a highly qualified researcher with strong
background in calculus of variations or evolution equations, also of
stochastic type.
The start date is 1.7.2020 or as soon as possible thereafter. The position
comes with max. 4h of teaching per week, mostly exercise classes. The
monthly gross salary is in the range 3.8-4.3 K€, depending on the
experience level.
Applications have to be submitted via the jobcenter of the University of
Vienna:
https://personalwesen.univie.ac.at/jobs-recruiting/job-center/
by navigating to 'Aktuelle Stellenausschreibungen', reference number 10846.
Informal enquiries to ulisse.stefanelli(a)univie.ac.at
________________________________________
Ulisse Stefanelli (Univ.-Prof., PhD)
Faculty of Mathematics, University of Vienna
Oskar-Morgenstern-Platz 1,1090 Vienna, Austria
ulisse.stefanelli(a)univie.ac.at
________________________________________
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
Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on May 22 at 11 by the zoom platform.
________________________________________________________
Speaker: Saeda Marello (University of Bonn)
Title: Metastability for the randomly dilute Curie-Weiss model with Glauber
dynamics".
22 MAY (Friday) - 11:00 - zoom link: TBA
The link and password to access the seminar will be available the day of
the seminar at the following webpage
https://www.math.unipd.it/news/metastability-for-the-randomly-dilute-curie-…
Abstract:
The Curie-Weiss model (CW) is a classical model of a ferromagnetic spin
system in which all spins interact with each other, namely the interaction
graph is complete.
The randomly dilute Curie-Weiss model (RDCW) is a generalisation of the CW
in which the deterministic interaction between pairs of spins is replaced by
iid random coefficients. It can be also viewed as an Ising model on a random
graph. We will show results in the case where the interaction coefficients
are iid Bernoulli random variables with fixed parameter p, i.e. the
interaction graph is an Erdős–Rényi random graph.
After giving an introduction on metastability and on the well known results
for the CW, we will focus on how the mean metastable hitting time in the
RDCW can be approximated by that of the CW, asymptotically as the system
size grows. The main methods we used are potential theoretic approach to
metastability and concentration of measure inequalities.
Based on joint work with Anton Bovier and Elena Pulvirenti.
--
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/
Dear colleague,
This is to announce an opportunity for doctoral studies in probability
theory starting Fall 2020, co-mentored by Anja Sturm (Göttingen) and Vlada
Limic (Strasbourg). The research topics are in theoretical probability,
more precisely in the area of near-critical random graphs and related
processes.
Interested candidates with strong mathematics research potential are
encouraged to contact us, preferably by email,
A. Sturm and V. Limic
http://www.stochastik.math.uni-goettingen.de/~asturm/https://irma.math.unistra.fr/~limic/
--
Kiva.org - Loans That Change Lives
Buongiorno,
inoltro con piacere l'annuncio per una scuola di probabilità online.
Saluti
Alessandra
---------- Forwarded message ---------
Da: Omer Angel <angel(a)math.ubc.ca>
Date: mar 12 mag 2020 alle ore 06:17
Subject: Online Open Probability School is starting next week
To: <faggiona(a)mat.uniroma1.it>
Dear Alessandra,
Our apologies if you receive multiple versions of this message.
This is a second general announcement of OOPS: the Online Open
Probability School, which will start next week (May 18), and will
continue through most of the summer
(https://www.math.ubc.ca/Links/OOPS). The school will feature a sequence
of mini-courses on diverse topics in probability and related topics.
All courses will take place online, and are open to all interested
participants. Most courses will consist of three 1-hour lectures, though
some will have longer lectures. Some courses will be accompanied by an
introductory lecture or short research talks on topics related to the
course. For information on
these and on any suggested readings related to the courses please
visit the above website.
Please advertise OOPS to anyone who may be interested in the courses.
They may also join our mailing list at
https://mailman-mail5.webfaction.com/listinfo/oops .
The schedule for the first few weeks can be found on the website.
Details about the first three mini-courses appear below.
1. Date and Time: May 18,19,21, 16:00 (UTC)
Speaker: Jean-Christoph Mourrat
Subject: Rank-one matrix estimation and Hamilton-Jacobi equations
2. Date and time: May 25,27,28, 16:00 (UTC)
Speaker: Gady Kozma
Subject: Critical and near-critical percolation
3. Date and time: June 1,2,4, 16:00 (UTC)
Speaker: Nina Gantert
Subject: Branching random walks: some recent results and open questions
Please don't hesitate to contact any of us with questions, suggestions
or ideas.
Best wishes,
Omer,
On behalf of the organizers:
Louigi Addario-Berry (louigi.addario(a)mcgill.ca)
Omer Angel (angel(a)math.ubc.ca)
Alex Fribergh (fribergh(a)dms.umontreal.ca)
Sarai Alma Hernandez Torres (saraiht(a)math.ubc.ca)
Thomas Hughes (hughes(a)math.ubc.ca)
Mathav Murugan (mathav(a)math.ubc.ca)
Edwin Perkins (perkins(a)math.ubc.ca)
Lea Popovic (lea.popovic(a)concordia.ca)
--
*************************************************
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
*************************************************
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/research/webinars/>
Venerdì 15 Maggio 2020, alle ore 12:00, si terrà il seguente webinar:
------------------------------------------------
Ismael CASTILLO (Sorbonne Université Paris)
*Multiscale analysis of Bayesian CART*
Abstract:
This work affords new insights about Bayesian CART in the context of
structured wavelet shrinkage. We show that practically used Bayesian CART
priors lead to adaptive rate-minimax posterior concentration in the
supremum norm in Gaussian white noise, performing optimally up to a
logarithmic factor. To further explore the benefits of structured
shrinkage, we propose the g-prior for trees, which departs from the typical
wavelet product priors by harnessing correlation induced by the tree
topology. Building on supremum norm adaptation, an adaptive nonparametric
Bernstein–von Mises theorem for Bayesian CART is derived using multiscale
techniques. For the fundamental goal of uncertainty quantification, we
construct adaptive confidence bands with uniform coverage for the
regression function under self-similarity.
(joint work with Veronika Rockova, University of Chicago).
------------------------------------------------
Chiunque volesse collegarsi al webinar è pregato di inviare una email entro
mercoledi 13 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/>