Dear colleagues,
On July Thursday 8 at 14:00, prof. Elena Pulvirenti (TU Delft) will give a virtual seminar “in Florence”, to which you are all invited. You can find title and abstract below.
Title: Metastability for the dilute Curie-Weiss model with Glauber dynamics
Abstract: We analyse the metastable behaviour of the dilute Curie–Weiss model subject
to a Glauber dynamics. The model is a random version of a mean-field Ising model,
where the coupling coefficients are replaced by i.i.d. random coefficients, e.g.
Bernoulli random variables with fixed parameter p. This model can be also viewed
as an Ising model on the Erdos–Renyi random graph with edge probability p.
The system is a Markov chain where spins flip according to a Metropolis dynamics
at inverse temperature \beta. We compute the average time the system takes to reach
the stable phase when it starts from a certain probability distribution on the metastable
state (called the last-exit biased distribution), in the regime where the system size goes
to infinity, the inverse temperature is larger than 1 and the magnetic field is positive and
small enough. We obtain asymptotic bounds on the probability of the event that the
mean metastable hitting time is approximated by that of the Curie–Weiss model.
The proof uses the potential theoretic approach to metastability and concentration
of measure inequalities. This is a joint collaboration with Anton Bovier (Bonn) and
Saeda Marello (Bonn).
The seminar will be on Zoom. You can find the information to join below.
Time: Jul 8, 2021 02:00 PM Rome
Join Zoom Meeting
https://us02web.zoom.us/j/86877056843?pwd=VnRCYktqZUV2M05GTDMwdWRhQ2VBdz09
Meeting ID: 868 7705 6843
Passcode: 909528
If you know of someone who might be interested and is not subscribed to the random mailing list, please do not hesitate to forward this announcement to them.
Kind regards,
Gianmarco
----------------------------------------------------------------------
Gianmarco Bet (he/him)
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
----------------------------------------------------------------------
Dear Colleagues,
please forward this job announcement to potential candidates.
We are looking for a data scientist and forecasting expert to join our team on "data innovation for migration and demography".
This is a 3+3 contract at the European Commission - Joint Research Centre, Ispra (IT), with highly competitive salary.
If you want to make the difference and impact the policy making cycle, apply by 28-Jul-2021 (Job# 2021-IPR-E6-FGIV-017868) here: https://lnkd.in/dWu5hBE
The successful candidate, as a member of a team of researchers and analysts, will be requested to:
* Contribute to early warning, situational awareness and forecast of migration patterns using traditional and innovative data sources as well as big data
* Contribute to the research activity on innovative data for migration, by collecting and analysing these data but also working on the related methodological challenges of integrating these data with official statistics;
* Collaborate with academic institutions and networks, Eurostat and other statistical offices, international organisations and data producers.
The ideal candidate shall have:
* A Ph.D. (doctoral degree) in data science, computer science, statistics or a related quantitative analysis discipline, or a minimum of five years professional experience after university studies, with a focus on data for policy;
* Experience in the domain of migration and/or mobility;
* Hands-on experience with data analytics, scientific programming tools (R and Python), large volumes of unstructured data, modelling and capability to transform data into information by extracting relevant insights, trends and patterns;
* Experience in machine learning and forecasting methods.
* Demonstrated experience in working with policy makers will be an asset;
* Flexibility, openness and collaborative attitude is required;
* Ability to work both autonomously and in team, result orientation, resilience to work under pressure;
* Capacity to communicate well and represent the Unit in EU policy-related events.
Looking forward to receive your application !
Stefano M. Iacus
Project Officer
[1571651612864]
European Commission
Joint Research Centre
Demography, Migration and Governance
Office: 26B 00/40
Via Enrico Fermi 2749
I-21027 Ispra / Italy
Tel +39 0332 78.6088
Fax +39 0332 78.9045
[1571651625394]
DISCLAIMER: The views expressed are purely those of the writer and may not in any circumstances be regarded as stating an official position of the European Commission.
Ricevo ed inoltro con piacere.
Saluti
Alessandra
---------- Forwarded message ---------
Da: Stefan Grosskinsky <s.w.grosskinsky(a)tudelft.nl>
Date: lun 5 lug 2021 alle ore 11:35
Subject: PhD/Postdoc position in Interacting Particle Systems, Augsburg
To: <Stefan.Grosskinsky(a)math.uni-augsburg.de>
Dear colleagues,
I am advertising a PhD or PostDoc position at Augsburg, Germany, to start
in October this year. It would be great if you can forward the announcement
below to suitable candidates. Please excuse if you have already received
this via another channel.
Thanks a lot and best wishes
Stefan Grosskinsky
We are inviting applications for a research associate position from October
1st, to support the new research group on Interacting Particle Systems of
Stefan Grosskinsky at the University of Augsburg, Germany. For technical
reasons the position is initially fixed for one year, but can be extended
to 3 years. The position is suitable for PhD or Postdoc, and includes a
modest amount of teaching. The official announcement in German can be found
here:
https://www.uni-augsburg.de/de/jobs-und-karriere/stellenangebote/2021/06/22…
Possible research topics include: Phase transitions and large-scale
dynamics in stochastic particle systems, condensation and aggregation
phenomena, hydrodynamic scaling limits, metastability, rare event
simulation; stochastic modelling of complex systems in economy, biology or
physics; for more details see
https://stefangrosskinsky.wordpress.com/
I am very happy to answer any questions, please get in touch preferably
before the end of July.
Stefan.Grosskinsky(a)math.uni-augsburg.de
Please send applications as PDF, which should include a CV, relevant
qualifications, research interests and contact details of two references.
Best wishes
Stefan Grosskinsky
--
Dr Stefan Grosskinsky
Associate Professor
DIAM, TU Delftstefangrosskinsky.wordpress.com
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Dear all,
it's a pleasure to announce the forthcoming seminar by Giorgio Ferrari,
which will be held in room 2BC30 of the Mathematics Department (Torre
Archimede) of the University of Padova and online, via Zoom, next week.
Here are the details:
* Date and time: 7 July, 14.30 pm
* Title: Multidimensional singular control and related Skorokhod problem:
sufficient conditions for the characterization of optimal controls
* Abstract: Singular stochastic control problems naturally arise in
applications and are intimately related to variational inequalities and
free-boundary problems. A key difficulty in the analysis of singular
stochastic control problems in multiple dimensions concerns the
characterization of an optimal policy, being the latter typically related
to the construction of a stochastic process with reflecting boundary
conditions. In this talk we show how to construct the optimal control for a
class of singular stochastic control problems as the unique solution to a
related Skorokhod reflection problem. The considered optimization problems
concern the minimization of a discounted cost functional over an infinite
time-horizon through a process of bounded variation affecting an
Itô-diffusion. The setting is multidimensional, the dynamics of the state
and the costs are convex, the volatility matrix can be constant or linear
in the state. We prove that the optimal control acts only when the
underlying diffusion attempts to exit the so-called waiting region, and
that the direction of this action is prescribed by the derivative of the
value function. Our approach is based on the study of a suitable
monotonicity property of the derivative of the value function through its
interpretation as the value of an optimal stopping game. Such a
monotonicity allows to construct nearly optimal policies which reflect the
underlying diffusion at the boundary of approximating waiting regions. The
limit of this approximation scheme then provides the desired
characterization. Our result applies to a relevant class of
linear-quadratic models, among others. Furthermore, it allows to construct
the optimal control in degenerate and non degenerate settings considered in
the literature, where this important aspect was only partially addressed.
The talk is based on a joint work with Jodi Dianetti.
* Zoom link: please visit the webpage
https://www.math.unipd.it/news/multidimensional-singular-control-and-relate…
Thanks for your attention and see you soon in Padova,
Giorgia Callegaro
--
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
Dear All,
I am forwarding the announcement below, which may be of interest to young
researchers in the applied probability community.
Best wishes
Tiziano
*-------------------------3 POSTDOCTORAL FELLOWSHIPS IN MODELING AND
ENGINEERING RISK AND COMPLEXITY (MERC) AVAILABLE AT THE SSM-SCHOOL FOR
ADVANCED STUDIES OF THE UNIVERSITY OF NAPLES (Call no. MERC_021_01)*
The call for applications for three postdoctoral fellowships in Modeling
and Engineering Risk and Complexity iat the SSM-School for Advanced Studies
of the University of Naples is now available at:
http://www.ssm.unina.it/en/postdoctoral-fellowships-calls-and-procedures/
The research programme will focus on the development of new methodological
approaches for the study, management and control of complex systems, the
design and engineering of resilient systems and the analysis and management
of risks (natural, anthropogenic, industrial and na-tech) and cascading
effects. The programme focuses on the integrated description and
management of phenomena affecting complex systems and the risks to which
they are exposed, in different application domains, through the use of
methods for mathematical, stochastic, computational and data-driven
modelling.
The programme should be characterised by a strongly multi- and
inter-disciplinary approach, based on the theory of dynamical systems and
control, the study of complex systems, infrastructures and networks, the
theory of reliability for the modelling of uncertainty, the analysis and
management of risks deriving from natural and anthropic phenomena on
complex and interdependent systems and the study of their emerging
properties and domino and cascade effects.
The candidate's activity should lie in at least one of the following three
multidisciplinary research areas
(i) modelling, analysis and control of non-linear, uncertain, complex and
multi-agent systems
(ii) stochastic modelling and reliability theory
(iii) Modelling and analysis of natural, Na-Tech, man-made and industrial
hazards.
The winners will carry out their research at the Scuola Superiore
Meridionale of the Università degli Studi di Napoli Federico II in close
collaboration with the research groups already involved in the activities
of the PhD students active there. They will also be required to engage in
the teaching and tutoring activities of the School, by either giving
courses at PhD level or undergraduate level for the students of the School.
Each fellowship is 1 year long (renewable up to 3 years) with a yearly
gross salary of EUR 35,000.
*Deadline for applications: 31st July 2021 at 2pm CET.*
For any further information you can check the related PhD program website
at
http://www.ssm.unina.it/en/modeling-and-engineering-risk-eng-and-complexity…
or contact us via email at merc(a)unina.it <https://mailto:merc@unina.it>
*** Apologize for cross-posting ***
On *July 14 at 17:00, Matteo Brachetta* (Department of Mathematics, Politecnico
di Milano
<https://scholar.google.com/citations?view_op=view_org&hl=it&org=39070900387…>)
will give a virtual seminar “in Insubria & Bicocca”, to which you are all
invited. You can find the title and abstract below.
Title: *Optimal Public Debt Management*
Abstract:
Public debt management is one of the most relevant topics in Economics,
especially after economic crises due to wars, pandemics or economic
recession. We discuss a class of debt management problems in a stochastic
environment model. We propose a model for the Debt-to-GDP ratio where the
government interventions (via fiscal policies) affect the public debt and
the GDP growth rate at the same time. We allow for a stochastic interest
rate on debt and possible correlation with the GDP growth rate. Indeed,
both the interest rate and the GDP growth depend on a stochastic factor,
which may represent any relevant macroeconomic variable, such as economic
conditions. Moreover, shocks on debt and GDP can be correlated. We tackle
the problem of a government whose goal is to determine the fiscal policy
(quantity of surplus or deficit) in order to minimize a general functional
cost. We prove that the value function is a viscosity solution to the
Hamilton-Jacobi-Bellman equation and provide a Verification Theorem based
on classical solutions. Then we discuss two applications, namely debt
reduction and debt smoothing, providing explicit results.
The seminar will be on *Zoom*. You can find the information to join below.
Speaker: Matteo Brachetta
Topic: Optimal Public Debt Management
Time: July 14, 2021, 17:00 Rome
Where: Zoom
Link:
https://us02web.zoom.us/j/84293514055?pwd=eFJSQitDTzZ0QUtsMUUzSlh0ZW43Zz09
ID riunione: 842 9351 4055
Passcode: jB3XTr
After the talk, you are all invited to remain in the meeting for an
informal aperitif and chat.
Please forward to anyone interested.
Kind regards,
Emanuela Rosazza Gianin and Elisa Mastrogiacomo
Dear Colleagues,
a research fellowship is available at the Department of Statistics of the University of Bologna. Candidates must submit a reasearch project on one of the following topics: Stochastic differential equations, Copulas, Optimal transport, Multivariate dependence, Conditional expectations and their asymptotic behavior, Dynamic models (with time or space-time evolution) in economics, Computational and statistical methods for asset pricing and risk management, Interval analysis and multi-dimensional copulas, Application of special functions to probabilistic and financial models, Rough volatility models, Financial instruments for investment valuation.
Deadline for application: July 7th 2021
Details and call for applications can be found at
https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=53471
Best Regards
Sabrina Mulinacci
Dear colleagues,
the Technical University of Vienna <https://www.tuwien.at/en/> is
advertising a *tenure-track* *position in probability* (main focus:
probabilistic methods in mathematical physics and related areas). The
(earliest) starting date is March 1^st , 2022. The successful candidate
will become member of the Mathematical Stochastics group, that I have
been heading since 2020.
I would be grateful if you could forward this message to any suitable
candidates (the application deadline is *September 9th, 2021*).
Applications can be submitted online via this link
<https://jobs.tuwien.ac.at/Job/153800>.
Candidates are encouraged to contact me
<https://toninellifabio.wixsite.com/homepage>
(fabio.toninelli(a)tuwien.ac.at) directly for any question related to this
position.
With best wishes and many thanks
Fabio Toninelli
--
Prof. Dr. Fabio Toninelli
Technical University of Vienna
Institut für Stochastik und Wirtschaftsmathematik
Wiedner Hauptstrasse 8-10, 1040 Wien, Austria
Office: 6th floor, green area. tel: +43-1-58801-10570
https://toninellifabio.wixsite.com/homepage