Gent.mi Colleghi,
Vi informo che è stato pubblicato sul sito web dell'Ateneo di Roma `La
Sapienza', vedi
https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/220985
un bando per il conferimento di n. 1 assegno di ricerca annuale
categoria B tip. I
GSD 01/MATH-03 – SSD MATH-03/B “Probabilità e statistica matematica”
GSD 01/MATH-04 – SSD MAT-04/A “Fisica matematica”
scadenza: 15 agosto 2024
Cordialmente,
Lorenzo Bertini
Dipartimento di Matematica
Universita' di Roma La Sapienza | Tel: +39 - 06 4991 4974
P.le A. Moro 5, 00185 Roma | E-mail: bertini(a)mat.uniroma1.it
Italy
Home page: http://www.mat.uniroma1.it/people/bertini/ama/
Dear colleagues,
There are 3 post-doctoral positions at Gran Sasso Science Institute.
The positions are for 24 months (with possibility of extension) and are open to (one of the) the following areas:
Probability and Statistical Mechanics, Numerical Analysis, Partial Differential Equations, Scientific Computing. The application has to be sent by the online application form at this link:
https://applications.gssi.it/postdoc/
with all the indicated documents before August 20, 2024 - 3 pm (Italian time).
We warmly encourage potential candidates who want to develop a research project in probability and its applications on statistical & quantum mechanics.
Please find the details in item 1.1 of Art. 2 in the attached call, or at this webpage:
https://gssi.it/communication/announcements/item/25387-bando-assegni-di-ric…
With best regards,
Lu Xu
Gran Sasso Science Institute
---------- Forwarded message ---------
From: Simona Di Carlo <simona.dicarlo(a)gssi.it<mailto:simona.dicarlo@gssi.it>>
Date: Wed, 3 Jul 2024 at 10:01
Subject: Re: bando assegni di ricerca in uscita il 2 luglio 2024
To: Roberto Aloisio <roberto.aloisio(a)gssi.it<mailto:roberto.aloisio@gssi.it>>, Jan Harms <jan.harms(a)gssi.it<mailto:jan.harms@gssi.it>>, Manuel Arca Sedda <manuel.arcasedda(a)gssi.it<mailto:manuel.arcasedda@gssi.it>>, Felicia Carla Tiziana Barbato <felicia.barbato(a)gssi.it<mailto:felicia.barbato@gssi.it>>, Lorenzo Pagnanini <lorenzo.pagnanini(a)gssi.it<mailto:lorenzo.pagnanini@gssi.it>>, Patrizio Pelliccione <patrizio.pelliccione(a)gssi.it<mailto:patrizio.pelliccione@gssi.it>>, Gianlorenzo D'Angelo <gianlorenzo.dangelo(a)gssi.it<mailto:gianlorenzo.dangelo@gssi.it>>, Alessandro Palma <alessandro.palma(a)gssi.it<mailto:alessandro.palma@gssi.it>>, Paolo Veneri <paolo.veneri(a)gssi.it<mailto:paolo.veneri@gssi.it>>, Nicola Guglielmi <nicola.guglielmi(a)gssi.it<mailto:nicola.guglielmi@gssi.it>>, Serena Cenatiempo <serena.cenatiempo(a)gssi.it<mailto:serena.cenatiempo@gssi.it>>, Francesco Viola <francesco.viola(a)gssi.it<mailto:francesco.viola@gssi.it>>, Paolo Antonelli <paolo.antonelli(a)gssi.it<mailto:paolo.antonelli@gssi.it>>
Cc: Eleonora Ciocca <eleonora.ciocca(a)gssi.it<mailto:eleonora.ciocca@gssi.it>>, Phd Secretariat <phd.secretariat(a)gssi.it<mailto:phd.secretariat@gssi.it>>
Buongiorno a tutti,
il bando è uscito in Gazzetta, pubblicato sul sito GSSI e il portale applications è correttamente online.
Un caro saluto,
Simona
--
Simona Di Carlo
GSSI - Gran Sasso Science Institute
School of Advanced Studies
Rectorate Office
Via M. Iacobucci, 2 - 67100 L<https://maps.google.com/?q=Via+M.+Iacobucci,+2+-+67100+L+Aquila+(AQ),+Italy…>'Aquila (AQ), Italy<https://maps.google.com/?q=Via+M.+Iacobucci,+2+-+67100+L+Aquila+(AQ),+Italy…>
E-mail: simona.dicarlo(a)gssi.it<mailto:phd.secretariat@gssi.it>
Tel.: +39 0862 4280 443
Mobile: +39 335 7601833
Website: www.gssi.it<http://www.gssi.it/>
Si informa che è stato pubblicato il bando *2024RTT05 * relativo
all'indizione di una procedura selettiva per l’assunzione di n. 13
ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24
della legge 240/2010 come modificato dalla L. 79/2022 , di cui uno nel GSD
13/STAT-03, SSD STAT-03/B presso il Dipartimento di Scienze Statistiche.
Info al link: https://www.unipd.it/procedura-2024RTT05
*Scadenza: 8 agosto 2024 ore 13*
Si prega di dare la massima diffusione presso tutti gli interessati.
Grazie per la collaborazione
Alessandra Fabbri Colabich
--
Dott.ssa Alessandra Fabbri Colabich
Università degli Studi di Padova
Dipartimento di Scienze Statistiche
Ricevo e inoltro.
Cordialmente,
Enea
---------- Forwarded message ---------
Carissimi colleghi,
scusandomi per eventuali invii multipli, vi inoltro i seguenti annunci di
seminario.
Tutti gli interessati sono invitati a partecipare.
Cordialmente,
Anna Maria Gambaro
--------------------------------
Title: Multi-objective reward generalization: improving performance of Deep
Reinforcement Learning for applications in single-asset trading
Speaker: Federico Cornalba, Department of Mathematical Sciences, University
of Bath, UK
Abstract: In this talk, we investigate the potential of Multi-Objective,
Deep Reinforcement Learning for stock and cryptocurrency single-asset
trading: in particular, we consider a Multi-Objective algorithm which
generalizes the reward functions and discount factor (i.e., these
components are not specified a priori, but incorporated in the learning
process). Using several assets (BTCUSD, ETHUSDT, XRPUSDT, AAPL, SPY,
NIFTY50), we discuss the reward generalization property of the proposed
Multi-Objective algorithm, preliminary statistical evidence for its
predictive stability over the corresponding Single-Objective strategy, and
its performance for sparse reward mechanisms.
Joint work with C. Disselkamp (pagent.ai), D. Scassola (aindo, and
Università degli Studi di Trieste), and C. Helf (pagent.ai).
- date: 18 July 2024
- time: 2.00 PM
- room: 205, campus Perrone, via Perrone, 18, Novara. Università del
Piemonte Orientale.
- on-line: meet.google.com/mbu-duor-fva
_____________________
Title: ESG Data Imputation and Greenwashing
Speaker: Giulia Crippa,Operations Research and Financial Engineering,
Princeton University & The Aggregate Confusion Project at Sloan School of
Management, MIT
Abstract: In recent years, there has been a notable surge of Environmental,
Social, and Governance (ESG) investing. This paper provides a simple and
comprehensive tool to tackle the issue of missing ESG data. Firstly, it
allows to shed light on the failure of ESG ratings due to data sparsity.
Exploiting machine learning techniques, we find that the most significant
metrics are promises, targets and incentives, rather than realized
variables. Then, data incompleteness is addressed, which affects about 50%
of the overall dataset. Via a new methodology, imputation accuracy is
improved with respect to traditional median-driven techniques. Lastly,
exploiting the newly imputed data, a quantitative dimension of greenwashing
is introduced. We show that when rating agencies do not efficiently impute
missing metrics, ESG scores carry a quantitative bias that should be
accounted by market players.
- date: 18 July 2024
- time: 3.00 PM
- room: 205, campus Perrone, via Perrone, 18, Novara. Università del
Piemonte Orientale.
- on-line: meet.google.com/mbu-duor-fva
-----------------------------------
Link sito UPO dei Seminari di Matematica e Statistica
<https://sites.google.com/uniupo.it/seminari-ms/home-page>
---------------------------------
--
Anna Maria Gambaro - Researcher
*Dipartimento di Studi per l'Economia e l'Impresa*
*Università del Piemonte Orientale*
*@ *annamaria.gambaro(a)uniupo.it
*w **https://upobook.uniupo.it/annamaria.gambaro*
<https://upobook.uniupo.it/annamaria.gambaro>*
<http://multiblog.uniupo.it/>*
*ssrn* https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2448937
*h* Via Perrone 18, 28100 Novara (Italy)
<https://www.google.it/maps/place/Via+Ettore+Perrone,+18,+28100+Novara+NO/@4…>
--
Enea G. Bongiorno,
Università degli Studi del Piemonte Orientale - Amedeo Avogadro
Via Perrone 18, 28100, Novara, Italia
Phone: +390321375317
enea.bongiorno(a)uniupo.it
upobook.uniupo.it/enea.bongiorno
------
IWFOS 2025
6th International Workshop on Functional and Operatorial Statistics -
iwfos2025.uniupo.it <https://iwfos2025.uniupo.it/home>
Math-Stat Seminars at UPO
seminari-ms.uniupo.it/home-page
------
Dear all,
we remind that the deadline for applications to the PhD Program in Methods and Models for Economic Decisions for the next academic year 2024-2025 (Cycle 40) is approaching.
There are 8 posts with scholarship available (6 ordinary scholarships + 2 additional scholarships PNRR DM 630).
Here you can find the links to the call for applications on the University webpage in English
https://www.uninsubria.eu/programs/phd-doctoral-research
and in Italian
https://www.uninsubria.it/formazione/offerta-formativa/dottorati
Application must be submitted exclusively online, through Student Secretarial Web Services until July 11, 2024 12:00 p.m.
We encourage potential candidates who wish to pursue research projects in operations research, probability, and their financial and economic applications. This includes areas such as multiobjective optimization, stochastic control, and mathematical finance. For more information on the Department of Economics and its quantitative research group members and research areas, please visit this webpage: https://archivio.uninsubria.it/siti-tematici-o-federati/siti-dei-dipartimen…
Best regards,
Elisa Mastrogiacomo
Elisa Mastrogiacomo
-----------------------------------------
Professore Ordinario di
Metodi matematici dell'economia e delle scienze attuariali e finanziarie
DIPARTIMENTO D'ECCELLENZA 2023/2027
Università degli Studi dell'Insubria
Dipartimento di Economia
Via Monte Generoso, 71 – 21100 Varese
tel. +39 0332/395528
web: www.uninsubria.it<http://www.uninsubria.it/>
mail: elisa.mastrogiacomo(a)uninsubria.it<mailto:mario.rossi@uninsubria.it>
Chiaramente Insubria!
[LOGO-ATENEO-FONDO TRASPARENTE]<http://www.uninsubria.it/> [Facebook] <https://www.facebook.com/uninsubria> [Twitter] <https://twitter.com/Uni_Insubria> [Instagram] <https://instagram.com/uninsubria> [YouTube] <https://www.youtube.com/user/LabVAMultimedia>
Dear Colleagues,
We would like to invite you to the following seminar:
On Frequentist Coverage of Bayes Posteriors for Non Linear Inverse Problems
by Youngsoo Baek (Duke University)
The seminar will take place on THU, 11.07.2024 at 14:00 CET in Aula Seminari, Dipartimento di Matematica, UNIPI and streamed online at this link<https://meet.google.com/gji-phwo-vbg>.
Katerina Papagiannouli
--------------------------------------------
Abstract:
We present two new results on the frequentist coverage of Bayes posteriors when estimating linear functionals of the unknown parameter in a nonlinear, PDE-based inverse problem. The results are valid for Gaussian process priors under sufficiently strong smoothness assumptions on the model. They provide a characterization of asymptotic coverage and Gaussian geometry for the standard posterior credible bands based on the first two moments, irrespective of whether Bernstein von-Mises (BvM) theorem holds or not. In the case it does hold, our sufficient conditions are sharper than previous known results. The proof is based on a particular choice of a least favorable transformation of the parameter and an injectivity estimate on the prior RKHS. As an application, we study the case of estimating diffusivity coefficient in a Darcy flow problem, where necessary conditions of BvM breaks down. This is a joint work with Katerina Papagiannouli.
Si avvisa che in data *08-07-2024*, alle ore *11:00* precise, presso la
sala Pentagonale dell'Area della Ricerca 1 del CNR di Milano in via
Corti 12,
il *Dr. Daya Shanker, Department of Earthquake Engineering, Indian
Institute of Technology Roorkee, *terrà un seminario dal titolo
*Geological investigation of Natural Background Radiation Hazard in
Southern Tamil Nadu, India, and its effect on built environment*
Abstract: Exposure and quantification of radioactivity has become
environmental and civil problems around the world. The radioactivity
even in minor quantities will build up in human body and subsequently,
lead to unknown and erratic health complications particularly those
related to sustainable development, agricultural production, habitat,
ecosystem, and forest. A very high intrinsic anomalous radioactivity >26
microGy/h was identified in the hinterlands within the boulders of
syenite rock body around Puttetti in western part of Kanyakumari
district, southern Tamil Nadu, India. Further, in the hinterlands, the
weathered rocks around Inayam and Midalam localities were also found to
be more radioactive ranging from 4 to 22 microGy/h compared to the
radiation exposure from the adjoining beach sectors at various locations
from Chavara to Tuticorin (1–14 microGy/h). The observed radiation
levels are presumably the highest concentration in southern India and
conceivably it is foremost instant that a very high intrinsic radiogenic
source in the hinterlands is reported in southwest coast of India.
Public concerns of radiation exposure of safety in high background areas
are of great social and civil relevance. The construction materials used
for dwelling purposes from these areas should be avoided from health
hazard point of views. Significant radiation doses will certainly enter
the human body as most of the people have the habit of sitting and
sleeping on the floor. People living in the region are expected to
receive significant radiation, which may get accumulated in the human
body causing long-term health problem. It is also advisable if the area
falls having already natural background radiation hazard must be avoided
for the future nuclear power plants/reactors.
Gli interessati possono partecipare in presenza o da remoto, attraverso
il link sotto riportato:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MTQ1OGU0MGEtNThlNC00…
Cordialmente,
Elisa Varini
Dear colleagues,
I would like to draw your attention to the following expression of
interest: if you know a researcher in Europe or globally, who may be
interested in carrying out a postdoctoral project with Integreat
<https://www.integreat.no/> in Norway, please help us to spread the news
about the call under.
*Full call: **https://www.integreat.no/about/vacancies/postdoctors/*
<https://www.integreat.no/about/vacancies/postdoctors/>
We are searching for PhD holders (up to 8 years from the date of award),
who have not resided in Norway for more than 12 months during the last 3
years at the time of the deadline (11 Sep 2024).
We welcome especially cross-disciplinary projects across Machine Learning
(ML), Statistics, Logic, Language Technology and Ethics. Candidates may
apply with an independent idea that may be linked to the Integreat projects
and research foci <https://www.integreat.no/research/projects/>, or they
can contribute to the projects mentioned in the call:
-
https://www.integreat.no/research/projects/uncertainty-quantification.html
-
https://www.integreat.no/research/projects/learning-from-human-preferences-…
Candidates will join a vibrant community of scientists, from young talents
to established researchers, across Machine Learning, Statistics, Logic,
Language Technology and Ethics from Norway and internationally. Integreat’s
aim is to train a community of early career researchers, to become the next
generation of scientists of modern knowledge-driven machine learning.
Contract duration: three years (two funded by the EU under the MSCA action,
the third year is funded by the UiO).
Deadline: the EU deadline is on 11 September, candidates may take contact
with a potential supervisor at Integreat or our administrative leader Maria
Dikova (admin(a)integreat.no) as soon as possible. All project proposals are
to be developed by the deadline (11 September 2024) with an Integreat
supervisor.
All the best,
Valeria
--
Valeria Vitelli
Oslo Centre for Biostatistics and Epidemiology,
Department of Biostatistics, University of Oslo, Norway
group page:
https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…
<https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…>
mailto: valeria.vitelli(a)medisin.uio.no
The Department of Economics and Management (DISEI) at the University of Florence is hosting the Emerging Risks in Economics and Finance Workshop on September 12-13, 2024.
This workshop aims to unite young scholars whose research centers on the quantitative modeling and management of emerging risks, such as climate change, ESG factors, pandemics, war, and demographic shifts. Researchers from the fields of financial economics, econometrics, risk management, stochastic analysis, and probability will present their latest findings through 30-minute presentations on these topics.
We are glad to have Prof. Umberto Cherubini from Alma Mater Studiorum - University of Bologna, and Prof. Alex Weissensteiner from the Free University of Bozen-Bolzano as our keynote speakers.
The event will be held at the Department of Economics and Management, via delle Pandette, 9.
Attendance is free, but we kindly ask attendees to register before September 1st.
Further information, and the registration link, can be found at workshop website
https://sites.google.com/unifi.it/eref2024/