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