Con preghiera di diffusione.
Segnalo agli interessati che è disponibile un posto di dottorato, tipologia
PON, per lo svolgimento di attivita' di ricerca vincolata su tematiche
green - DM 10 agosto 2021 n.1062,
presso il *Dottorato in Scienze Matematiche*, Università degli Studi di
Milano.
Titolo: *Metodi di topological data analysis e di explainable machine
learning applicati al monitoraggio ed ottimizzazione di filiere agri-food
sostenibili*
Supervisore: Alessandra Micheletti
*In collaborazione con Deloitte SpA*
*scadenza iscrizioni: 8/11/2021 ore 14:00*
Ricordo che questa posizione di dottorato è di tipo industriale, e che
il/la candidato/a prescelto dovrà svolgere almeno 6 mesi in azienda durante
il percorso di dottorato.
I dettagli del bando si possono trovare all'indirizzo
https://www.unimi.it/it/corsi/corsi-post-laurea/corsi-di-dottorato-phd/aa-2…
sotto la voce Sessione: 2 - ampliamento borse
Possono iscriversi al bando i laureati magistrali di qualsiasi classe di
laurea, purchè la laurea sia conseguita entro il 31/10/2021.
Resto a disposizione per eventuali chiarimenti.
--
------------------------------------
Alessandra Micheletti
Associate Professor - Probability and Mathematical Statistics
Dept. of Environmental Science and Policy - ESP
Università degli Studi di Milano
via Saldini 50, 20133 Milano, Italy
phone: +39-02503-16130
fax: +39-02503-16090
https://alessandramichelettiwebpage.wordpress.com/
Carissimi
in allegato trovate l'avviso inerente la posizione di postdoc.
Potete contattarmi per eventuali chiarimenti.
Grazie.
Cari saluti
Enrica
--
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
Dear All,
The message below from the Applied Probability Section of the Royal
Statistical Society is addressed to junior researchers who have just
completed or are about to complete a PhD in the UK. Please feel free to
forward it to potentially interested students.
Best wishes
Tiziano
--------------------------------
We invite applications for a new prize, awarded by the RSS Applied
Probability Section for the best PhD thesis defended in the last two years.
The winner of the competition will be given the opportunity to organise an
RSS Applied Probability Section workshop on a topic of their choice, with
the support of the APS committee.
*Criteria:*
To be eligible for the award, candidates should have completed a PhD at a
UK university. The PhD defence should have taken place between 1 January
2020 and 28 February 2022. Applications will be judged on the contribution
of their PhD thesis to the field of applied probability, broadly
interpreted, and its potential for long term impact on applied probability
and/or its potential to reach out into statistical science and other
application areas, both established and novel.
Further details on how to apply for the competition can be found on the RSS
website:
https://rss.org.uk/news-publication/news-publications/2021/section-group-re…
Further information about the RSS Applied Probability Section can be found
here:
https://rss.org.uk/membership/rss-groups-and-committees/sections/applied-pr…
Dear colleagues,
we are happy to announce the first *hybrid - that is, in person with online
streaming -* talk of the (PMS)^2 series:
Speaker: *Carina Geldhauser* (Lund University)
Title: *Discrete models for atmospheric turbulence*
Abstract:
In this talk we discuss a family of discrete models for atmospheric
turbulence, often called point vortex models.
Point vortices provide an approximation of solutions to generalized surface
quasi-geostrophic models, a family of fractional PDEs which interpolate
between 2D Euler equations and the more irregular SQG equation.
We state some of its basic properties and see how variational methods and
tools from probability theory together can help us to obtain more
information about turbulence phenomena.
The content of this talk is based on work in collaboration with Marco
Romito (Uni Pisa), the presentation tries to avoid technicalities and to be
accessible to a mixed audience.
Date and time: *Monday October 25, 14:30-15:30 (Rome time zone)*, mind the
change with respect to previous talks
Place: *Sala di Rappresentanza (ground floor), Dipartimento di Matematica,
Università degli Studi di Milano, via Saldini 50, 20133 Milano*
*Zoom link:*
https://us02web.zoom.us/j/5772228296
This is a talk of the *(PMS)^2: Pavia-Milano Seminar series on Probability
and Mathematical Statistics* organized jointly by the universities
Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. For more
information see the dedicated webpage:
https://paviamilanoseminars.wordpress.com/
Participation is free and welcome!
The number of participants in person is limited, but we expect the limit
not to be reached. However we advise people who are not from Milan or Pavia
to write to us if they want to participate in person.
Participants in person need to have the "green pass" or the EU digital
covid certificate; a scanner will measure body temperature at the entrance
of the building.
Best regards
The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita
Zanella)
Carissimi,
vi segnaliamo che e' appena uscito il bando per un posto di
dottorato nel settore MAT/06, tipologia PON, per lo svolgimento di
attivita' di ricerca vincolata su tematiche green - DM 10 agosto 2021 n.
1062 presso il Dipartimento di Matematica "Tullio Levi-Civita",
Universita' di Padova.
Titolo: Optimal dispatching in intraday electricity market when storage is
possible
Supervisore: Tiziano Vargiolu
Corso di dottorato: Scienze Matematiche (curr. Mat. Computazionale)
Scadenza della domanda: 4 Novembre 2021, ore 13:00
Tutte le informazioni sono reperibili alla seguente pagina:
https://www.unipd.it/dottorato/innovazione-green (italiano)
https://www.unipd.it/en/phd-innovation-green-issues (inglese)
Vi preghiamo di dare ampia diffusione tra i vostri studenti
interessati. Per maggiori dettagli, non esitate a scrivere
(vargiolu(a)math.unipd.it)
Cordiali saluti
Tiziano
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------
We announce the following DEC Statistics webinar at Bocconi:
Date: Thursday 21 October 2021, h12:00 (Italy time)
Speaker: Irene Crimaldi (IMT School for Advanced Studies Lucca)
Title: Interacting Reinforced Stochastic Processes
Abstract: Randomly evolving systems composed by elements which interact
among each other have always been of great interest in several scientific
fields. We will present some studies about models of interacting stochastic
processes with reinforcement. Generally speaking, by reinforcement in a
stochastic dynamics we mean any mechanism for which the probability that a
given event occurs has an increasing dependence on the number of times the
same event occurred in the past. In particular, we will focus on the
asymptotic synchronization phenomenon that could be roughly defined as the
tendency of different components to adopt a common behavior. Moreover, we
will deal with the relationship between the topology of the interaction
network and the long-time synchronization. Indeed, the obtained results
lead to the construction of asymptotic confidence intervals for the common
limit random variable and of statistical tests to make inference on the
topology of the network. Finally, we will discuss the question when, even
if interaction among agents is present, absence of synchronization may
happen.
The webinar will be on zoom at:
https://unibocconi-it.zoom.us/j/93329709153?pwd=TnZyNmV5QWZ1YjdHOHhEK2VZTmp…
Meeting ID: 933 2970 9153
Passcode: 417065
Kind regards,
Giacomo Zanella
Cari colleghi,
vi segnaliamo che è appena uscito il bando per un posto di dottorato nel settore MAT/06, tipologia PON, per lo svolgimento di attività di ricerca vincolata su tematiche green e innovazione - DM 10 agosto 2021 n. 1062 presso il Dipartimento di Matematica Federigo Enriques, Università degli Studi di Milano.
Modellizzazione matematica e analisi dei dati per lo studio dell'impatto dei cambiamenti climatici e ambientali sul degrado dei Beni Culturali in ambienti interni ed esterni.
Scadenza della domanda: 8 Novembre 2021, ore 14:00
Tutte le informazioni sono reperibili alla seguente pagina:
https://www.unimi.it/it/corsi/corsi-post-laurea/corsi-di-dottorato-phd/aa-2…
Vi preghiamo di dare ampia diffusione tra i vostri studenti interessati. Per avere maggiori dettagli sul progetto possono scrivere a stefania.ugolini(a)unimi.it, daniela.morale(a)unimi.it
Grazie.
Cordiali saluti,
Stefania Ugolini e Daniela Morale.
Dear all,
it's a pleasure to announce the following seminar by Andrea Pallavicini,
which will be **in presence and online**. Details are as follows:
- *Title*: Chebyshev Greeks: Smoothing Gamma without Bias
- *Date*: October 29, 2021 at 14:30
- *In presence*: Room 2BC30 (Torre Archimede, Padova)
- *Online (Zoom):* the link will be available from the day before at
this address https://www.math.unipd.it/~bianchi/seminari/
- *Abstract*: The computation of Greeks is a fundamental task for risk
managing of financial instruments. The standard approach to their numerical
evaluation is via finite differences. Most exotic derivatives are priced
via Monte Carlo simulation: in these cases, it is hard to find a fast and
accurate approximation of Greeks, mainly because of the need of a tradeoff
between bias and variance. Recent improvements in Greeks computation, such
as Adjoint Algorithmic Differentiation, are unfortunately uneffective on
second order Greeks (such as Gamma), which are plagued by the most
significant instabilities, so that a viable alternative to standard finite
differences is still lacking. We apply Chebyshev interpolation techniques
to the computation of spot Greeks, showing how to improve the stability of
finite difference Greeks of arbitrary order, in a simple and general way.
The increased performance of the proposed technique is analyzed for a
number of real payoffs commonly traded by financial institutions.
See you soon in Padova, thanks,
Giorgia
--
Giorgia Callegaro
Associate Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home