Fully funded PhD positions in Modeling and Data Science - University of
Turin
There are 5 fully funded PhD scholarships in the framework of the PhD in
Modeling and Data Science at the University of Turin (Italy), coordinator
Prof. Laura Sacerdote (3 PhD scholarships funded by the University of Turin
and 2 scholarships co-funded by CNR Iliesi).
The scholarship is for three years, starting from 1st November 2023.
The PhD program is interdisciplinary, and it involves branches of
mathematics, informatics, economics, statistics, and physics.
Website of the PhD: https://dottorato-mds.campusnet.unito.it/do/home.pl
The official language is English.
The call is now open. All interested candidates have to submit their
application online:
https://pica.cineca.it/unito/2023-dott/
The required documents can be provided in English or Italian.
Deadline for applying is *7 July 2023*, h 12:00 noon (CEST Time)
The positions are assigned to specific research projects which are
discussed during the interview together with the related scientific
skills. Candidates
are required to submit a written statement (maximum length 3 pages with
legible font size) explaining which specific aspects of the previously
acquired background knowledge are useful for the development of the project
selected at the time of application, possibly together with specific
research directions and techniques that the applicant envisions can be
pursued in that area. The relevance of the topics presented to the selected
project will be an integral part of the evaluation.
The list of the available projects - with a short description - is
available at the following link (the scholarships co-funded by CNR Iliesi
are related to projects No. 1 and 2)
https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…
More information, including the official call and all relevant deadlines,
at the following link
https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XXXIX_ciclo.html
where further news, which may become available after the publication of the
call, will also be announced.
Please feel free to circulate this message to potentially interested people.
Kind regards
EDN
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Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
www.elviradinardo.it
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Ricevo e inoltro.
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In the group of Stochastics within the Institute of Mathematics at TU Clausthal we offer a position as
Research assistant (PhD-Student), all genders welcome
Entgeldgruppe 13 TV-L, 100%
for an initial period of 3 years. The starting date is as soon as possible. The position includes research in the field of nonlinear stochastic evolution equations as well as teaching support linked to the focus of the research. The job advertisement can be found here:
https://www.tu-clausthal.de/en/university/careers-vocational-training/job-o… <https://www.tu-clausthal.de/en/university/careers-vocational-training/job-o…>
For further information, please contact Aleksandra Zimmermann, aleksandra.zimmermann(a)tu-clausthal.de <mailto:aleksandra.zimmermann@tu-clausthal.de>
Il giorno 13 giugno alle ore 10.30, Aula Di Fresco (quarto piano della
facoltà di Economia Sapienza)
Il prof. Roderick Little, University of Michigan, terrà un seminario dal
titolo
*Some Reflections on Rosenbaum and Rubin’s Propensity Score Paper*
Tutti gli interessati sono invitati a partecipare.
Il seminario è fruibile anche on line collegandosi alla pagina
https://web.uniroma1.it/memotef/aule-e-laboratori-memotef-didattica
e cliccando su *Link studente* in corrispondenza dell’*Aula di Fresco*
*Abstract *
Rosenbaum and Rubin’s paper is highly cited because the basic idea is
simple and insightful, and it has applications to important practical
problems in treatment comparisons with observational data, and selection
bias and nonresponse in surveys. I discuss several issues related to the
method, including the use of the propensity score for weighting or
prediction, and two robust methods that use the propensity score as a
covariate and can be more efficient than weighting when the weights are
highly variable, namely Penalized Spline of Propensity Prediction (PSPP)
and Penalized Spline of Propensity for Treatment Comparisons (PENCOMP).
Approaches to addressing highly variable weights are discussed, including
omitting variables in the propensity model that are unrelated to outcomes
and redefining the estimand.
--
============================================
Brunero Liseo
*Dip. di metodi e modelli per il territorio, l'economia e la finanza *
*Sapienza Università di Roma*
*Viale Castro Laurenziano, 9 Roma I-00161 *Tel. +39 06 49766973
Fax +39 06 4957606
*https://sites.google.com/a/uniroma1.it/brulis/home
<https://sites.google.com/a/uniroma1.it/brulis/home>*
============================================
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**Fai crescere le giovani ricercatrici e i giovani ricercatori*
**con il 5
per mille alla Sapienza
*Scrivi il codice fiscale dell'Università
*80209930587
Cinque per mille <https://www.uniroma1.it/it/node/23149>*
Ricevo e inoltro, scusandomi per ricezioni multiple.
Francesca Crucinio
--------------
Research Fellow in Computational Statistics
National Institute for Applied Statistics Research Australia (NIASRA)
School of Mathematics and Applied Statistics,
University of Wollongong, NSW, Australia
Fixed Term, Full Time Appointment (2 years)
Salary: (AUD) $84,935 - $99,509 plus 17% superannuation
Closing Date: Sunday 9 July 2023, 11:59pm
[The Opportunity] The School of Mathematics and Applied Statistics wishes
to appoint an Associate Research Fellow in Computational Statistics to
start in October 2023 (or a mutually agreeable date). This post complements
the expansion in Statistics research through the appointment of the TIBRA
Foundation Chair in Mathematical Sciences. We seek candidates with a track
record of high-quality research in statistical methodology, focusing on
areas of Bayesian computations.
The successful candidate will develop statistical methodology for
contemporary and application-driven challenges in high-dimensional Bayesian
statistics and contribute to the supervision of an associated doctoral
research studentship.
[Selection Criteria] Completion (or near completion) of a relevant Doctoral
qualification in Statistics/Applied
Probability/Machine Learning on Computational Statistics, Bayesian
methodology, Uncertainty
quantification, or other closely related research topics.
[How to Apply] You are required to submit a cover letter detailing your
interest in this position, relevant qualifications and include your
research statement. You are also required to attach an up-to-date CV and
answer the selection criteria questionnaire as part of the application
process.
For further details, including information about how to apply, go to
https://www.uow.edu.au/about/jobs/jobs-available/#en/sites/CX_1/job/3620/?m…
For informal enquiries about this position, please contact Professor
Sumeetpal Singh <sumeetpals(a)uow.edu.au>
Con preghiera di massima diffusione a tutti i potenziali interessati.
***
Nell'ambito del Progetto ANTHEM - AdvaNced Technologies for Human-centrEd Medicine
è appena stata bandita una posizione RTD-A nel settore SECS-S/01 sul tema
Sviluppo soluzioni innovative per il monitoraggio dei pazienti cronici, la valutazione dell'impatto dei fattori ambientali e degli stili di vita sulla salute e per l'identificazione fattori di rischio
Scadenza: 26-06-23
Dettagli della procedura:
https://www.polimi.it/en/faculty/working-at-the-politecnico/calls-and-compe…
Programma di Ricerca: Sviluppo soluzioni innovative per il monitoraggio dei pazienti cronici, la valutazione dell'impatto dei fattori ambientali e degli stili di vita sulla salute e per l'identificazione fattori di rischio. L'attività di ricerca (riferita al progetto ANTHEM - AdvaNced Technologies for Human-centrEd Medicine Spoke 3 - Piano complementare PNRR - diretto dal Politecnico di Milano) verterà sullo sviluppo di modelli statistici e algoritmi di AI per la rilevazione di Non Communicable Diseases (NCD) e la previsione di una loro progressione basate su raccolta di segnali vitali, definizione di mappe di rischio per malattie cardiovascolari e respiratorie basate su dati raccolti da wearables e dati retrospettivi legati al territorio. Sono richieste competenze avanzate di Statistical Learning e Analisi Dati, e comprovata conoscenza di Data Management e programmazione (R, Python). Il ruolo prevede lo svolgimento di attività didattica.
Per informazioni: Prof. Francesca Ieva – francesca.ieva(a)polimi.it<mailto:francesca.ieva@polimi.it>
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
(+39) 02 2399 4554
laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
https://sangalli.faculty.polimi.it
Since 2015, the Universities of Pavia and Milano-Bicocca have had a joint PhD program in Mathematics with the support of INdAM.
https://sites.google.com/view/jointphd/home
We are pleased to announce that the 2023 call for PhD candidates is open, with a deadline of June 26, 2023. You can find more details and application instructions at the following links:
• English: http://phd.unipv.it/call-39/
• Italian: http://phd.unipv.it/bando-39/
A total of 12 scholarships are available in various domains of Mathematics, including Probability and Statistics.
We kindly request you to circulate this information to potentially interested applicants.
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_________________________________________
Francesco Caravenna
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
Via Cozzi 55, 20125 Milano, Italy
Office 3016, U5 building
https://staff.matapp.unimib.it/~fcaraven/
_________________________________________
Segnalo il seguente assegno di ricerca presso il Dipartimento di
Economia dell’Università Ca’ Foscari Venezia
Titolo: Modelli di reti neurali per l’analisi di dati finanziari
cross-sectional nel tempo, con applicazione alla valutazione dei prezzi
delle abitazioni in Italia
Il principale obiettivo del progetto è di studiare l’adattabilità di
adeguati modelli a reti neurali ad un contesto dinamico che considera
però dati longitudinali e non serie storiche temporali.
SSD e/o settore concorsuale: SECS-S/06
Responsabile scientifico e tutor: Prof.ssa Antonella Basso
durata: 12 mesi
SCADE IL 26/06/2023 ORE 12:00 ORA ITALIANA:
Link: https://www.unive.it/data/12137/#27507013
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I would like to point out the following research grant (post-doc) at the
Department of Economics of Ca' Foscari University of Venice
Subject: Neural networks models for pooled cross-sectional financial
data across time, with application to housing pricing in Italy
The main goal of the project is to study the adaptability of appropriate
neural network models to a dynamical context which considers
longitudinal data instead of time series data.
Duration: 12 months
Deadline: 26/06/2023 at 12:00 Italian time
Link: https://www.unive.it/data/12137/#27507013
Antonella Basso
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Antonella Basso
Dipartimento di Economia
Università Ca' Foscari Venezia
Fondamenta S. Giobbe - Cannaregio 873
30121 Venezia - Italy
Tel. +39-041-2346914
E-mail address:basso@unive.it
Web page:https://www.unive.it/data/persone/5591751
Dear colleagues,
We are delighted to inform you about this interdisciplinary ECML workshop:
https://www.lasoml.com/non-functional-tradeoffs-law-and-society
We are currently accepting submissions.
The broad theme of the workshop is societal implications of ML. Topics such as algorithmic fairness, transparency and regulation of AI are also covered by the call for papers. The concept of the workshop is to foster an interdisciplinary, European community dealing with the impact of ML and AI on society, and possible intervention strategies to limit harms.
We look forward to meeting you in Turin!
Shuyi Yang