Cari colleghi,
vi segnalo che il Dipartimento di Matematica dell'Università di Padova
ha bandito un posto di ricercatore di tipo B nel settore MAT/06.
Il bando è disponibile alla pagina
http://www.math.unipd.it/it/news/?id=1898
La scadenza per la presentazione delle domande è il 25 agosto 2016.
Marco Ferrante
Dear all,
On Thursday, November 2nd, at 15h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Adriano Barra (Università del Salento) with the seminar
"A walk in the statistical mechanics of neural networks”
Abstract: Purpose of this talk is twofold: in the first part, I will provide a statistical mechanical picture of shallow networks proving how learning in biological neural networks (e.g. in the Hopfield model) and …
[View More]standard machine learning via gradient descent (e.g. on the Boltzmann machine) ultimately convey the same information after training. This diminishes the gap in our understanding between biological and artificial information processing networks. In the second part of the talk, focusing on a toy model for the sake of simplicity, I will show how recent mathematical techniques, heavily based on Guerra's interpolation, are suitable to describe the emergent properties of this kind of networks.
We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming:
https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… <https://teams.microsoft.com/l/meetup-join/19:rfsL73KX-fw86y1YnXq2nk5VnZFwPU…>
The seminar is part of the Excellence Project MatMod@TOV.
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Dear all,
We are happy to announce that on Monday, September 25th, at 15h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Marco Carfagnini (University of California San Diego) with the seminar
"Spectral gaps via small deviations”
Abstract: In this talk we will discuss spectral gaps of second order differential operators and their connection to limit laws such as small deviations and Chung’s laws of the iterated logarithm. …
[View More]The main focus is on hypoelliptic diffusions such as the Kolmogorov diffusion and horizontal Brownian motions on Carnot groups. If time permits, we will discuss spectral properties and existence of spectral gaps on general Dirichlet metric measure spaces.This talk is based on joint works with Maria (Masha) Gordina and Alexander (Sasha) Teplyaev.
We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming:
https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6”} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…> .
The seminar is part of the Excellence Project MatMod@TOV.
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Dear all,
we are glad to announce the following hybrid seminar
*March 12, 2024, 12:15 PM*
*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino,
155 Mestre (Venice, Italy)
Zoom:
https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09
*Speaker*: Alessandra Menafoglio, Politecnico di Milano (Milano, Italy)
*Title*: The Bayes space approach to functional data analysis for
probability density functions
*Abstract:*
In the presence of …
[View More]increasingly massive and heterogeneous data, the
statistical modeling of distributional observations plays a key role.
Choosing the ‘right’ embedding space for these data is of paramount
importance for their statistical processing, to account for their nature
and inherent constraints. The Bayes space theory is a natural embedding
space for (spatial) distributional data, and was successfully applied in
varied settings. In this presentation, I will discuss the
state-of-the-art methods for the modelling, analysis, and prediction of
distributional data, with a particular attention to cases when their
spatial dependence cannot be neglected. I will embrace the viewpoint of
object-oriented spatial statistics (O2S2), a system of ideas for the
analysis of complex data with spatial dependence. All the theoretical
developments will be illustrated through their application on real data,
highlighting the intrinsic challenges of a statistical analysis which
follows the Bayes spaces approach.
Best regards,
Carlo Gaetan
--
-
Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS
Università Ca' Foscari - Venezia
Z.A12 - Edificio Zeta
Via Torino, 155
I-30172 Mestre (VE)
ITALY
phone: ++39 041 234 8404
e-mail:[gaetan"at"unive"dot"it]
web:[http://www.dais.unive.it/~gaetan]
Please don't print this e-mail unless you really need to.
Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html.
Per favore non stampate questo messaggio se non è proprio necessario.
Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html
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1 Year Post-Doc position in Verona
I am looking for a post-doc to join my group. The topic of the research project is "Machine learning and stochastic control for financial risk management"
The aim of this project is to study new methods, models, and numerical techniques for the treatment of financial risk management problems, in particular counterparty credit risk (xVA) or the pricing of financial and insurance claims. Many problems in finance involve the minimization of a cost functional …
[View More]subject to controlled stochastic state variables. Controls or related quantities in high dimension can be conveniently approximated by means of artificial neural networks. The aim of the project is to study control problems and partial (integro) differential equations under general dynamics together with the development of new models for the evolution of risk factors, with a special focus on interest rates.
The candidate should have a solid background in probability, stochastic calculus and computational finance. Experience with the Java and/or Python programming languages and Machine Learning frameworks such as Tensorflow, Deep Java Library or Deeplearning4J is a plus.
Candidates will be evaluated based on their scientific quality and their potential in developing research. There are no teaching obligations and knowledge of Italian is not required.
The deadline for applications is the 19 March 2024 (h. 13.00). The link to the call is here
https://docs.univr.it/documenti/Concorso/bando/bando371360.pdf
The call is in Italian. Non-Italian speakers needing help with the form can contact me at alessandro [dot] gnoatto [at] univr [dot] it I am happy to help.
The Economics Department of the University of Verona has been recognized as "Department of Excellence" ("Dipartimento di Eccellenza") in the latest Italian Government Research Quality Evaluation Procedure.
The research group in quantitative and mathematical finance of the University of Verona offers a vibrant and young working environment. Members of the group:
- Alessandro Gnoatto (full professor)
- Cecilia Mancini (full professor)
- Cosimo-Andrea Munari (associate professor)
- Athena Picarelli (associate professor and local coordinator of the project)
- Andrea Mazzon (tenure-track assistant professor)
- Sara Svaluto-Ferro (tenure-track assistant professor)
- Jonathan Tam (post-doc)
We also run a dedicated PhD program on quantitative methods for economics and finance.
—
Prof. Alessandro Gnoatto
Presidente del CdLM "Banca e Finanza"
Dipartimento di Scienze Economiche
Università degli Studi di Verona
Via Cantarane 24
37129, Verona, Italy
Room 1.05
Tel: +39 045 802 8537
Homepage: www.alessandrognoatto.com<http://www.alessandrognoatto.com/>
E-mail: alessandro.gnoatto(a)univr.it<mailto:alessandro.gnoatto@univr.it>
--------------------------------------------------
View my research on my SSRN Author page:
http://ssrn.com/author=1615989
--------------------------------------------------
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Si prega di dare massima diffusione.
Sulla Gazzetta Ufficiale – IV serie speciale – Concorsi ed Esami n. 16 del 23/02/2024 è stato pubblicato l’avviso d'indizione di selezioni pubbliche, per titoli e discussione pubblica, per la copertura di un posto di ricercatore a tempo determinato in tenure track (RTT), mediante stipula di contratto di lavoro subordinato della durata di 6 anni, ai sensi dell’art. 24 della Legge 30 dicembre 2010 n. 240 come modificato dall’art.14 comma 6-decies del decreto …
[View More]legge 30 aprile 2022, n. 36 convertito con modificazioni, dalla Legge 29 giugno 2022, n. 79, per lo svolgimento di attività di ricerca e di didattica, di didattica integrativa e di servizio agli studenti, presso il Dipartimento di Economia, Management e Metodi Quantitativi dell’Università di Milano; Settore Concorsuale 13/D4, SSD SECS-S/06.
La procedura di compilazione ed invio della domanda di partecipazione alle suddette selezioni pubbliche è interamente ed esclusivamente telematica e prevede l’utilizzazione dell’applicazione informatica SICON.
Il testo integrale del bando, con allegato il facsimile della domanda e con l’indicazione dei requisiti e delle modalità di partecipazione alle sopracitate selezioni pubbliche, è disponibile alla pagina Web https://www.unimi.it/it/node/581/ scegliendo il codice della procedura (5498) attraverso il motore di ricerca a inizio pagina.
Il termine ultimo per la presentazione delle domande è fissato
per le ore 12:00 del 25 marzo 2024.
https://www.unimi.it/it/ateneo/lavora-con-noi/reclutamento-ricercatori/sele…
(se il suddetto link non funziona inserire il codice 5498
alla pagina Web https://www.unimi.it/it/node/581/ )
—
Giovanni Puccetti
https://sites.google.com/site/giovannipuccetti/
—
Department of Economics, Management and Quantitative Methods
University of Milano
Via Conservatorio 7, 20122 Milano (MI) ITALY
—
Editor-in-Chief
Dependence Modeling (De Gruyter)
http://www.degruyter.com/view/j/demo
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Si segnala il seguente seminario:
Lunedì 4 Marzo 2024, ore 16:00, Sala di Consiglio, Dipartimento di
Matematica "Guido Castelnuovo", Sapienza Università di Roma.
*Speaker: *Ilya Losev (University of Cambridge, UK)
*Title: *How long are the arms in Dielectric-Breakdown Model?
*Abstract: *In this talk we will discuss the recent progress on such random
growth models as Diffusion Limited Aggregation (DLA) and
Dielectric-Breakdown Model (DBM) in 2 and 3 dimensions. These models are
believed to …
[View More]exhibit non-equilibrium growth, producing irregular fractal
patterns. The main questions about these processes include finding their
scaling limits and fractal dimensions. However, almost nothing is known
rigorously.
The main result about these models is due to Kesten, who gave a non-trivial
lower bound on the fractal dimension of DLA clusters. The main tool in his
proof was the famous Beurling’s estimate.
We generalize this result to DBM and give a new proof of Kesten’s Theorem.
Our proof does not rely on Beurling’s estimate. Instead, we exploit the
connection between DBM growth properties and multifractal spectrum of the
harmonic measure.
********************************
Vittoria Silvestri
Assistant Professor
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
********************************
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Dear colleagues,
We are glad to announce the
I*NdAM Workshop: Analysis and Geometry of Random Fields*
that will be held at the
INdAM F. Severi, first floor, Dipartimento di Matematica G. Castelnuovo,
Piazzale Aldo Moro 5, *Roma*,
on *September 4-5-6, 2024*.
We are proud to host many international experts on the subject, for more
information please visit the website
<https://events.dm.unipi.it/e/randomfields> of the event or contact the
organizers at
*indamrandomfields2024(a)gmail.com &…
[View More]lt;indamrandomfields2024(a)gmail.com>*
Participation is free and welcome, but registration is mandatory and the
number of participants is limited due to the venue size.
*Register here <https://events.dm.unipi.it/event/207/registrations/>. *The*
deadline *for registration is* May 31, 2024.*
Best wishes,
The organizers (Francesco Grotto and Anna Paola Todino)
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