July 2021 - Random - Mailing list — Dipartimento di Matematica, UniPI

Seminar announcement July Thursday 8 - Metastability for the dilute Curie-Weiss model with Glauber dynamics (prof. Elena Pulvirenti)
by Gianmarco Bet 07 Jul '21

07 Jul '21

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 ----------------------------------------------------------------------

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Job announcement @ European Commission - Joint research Centre Ispra (IT). Deadline 28-Jul-2021.
by IACUS Stefano 07 Jul '21

07 Jul '21

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.

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Fwd: PhD/Postdoc position in Interacting Particle Systems, Augsburg
by Faggionato, Alessandra 05 Jul '21

05 Jul '21

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 *************************************************

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Seminar by Prof. Giorgio Ferrari in Padova and via Zoom!
by Giorgia Callegaro 03 Jul '21

03 Jul '21

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

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3 POSTDOCTORAL FELLOWSHIPS
by Tiziano De Angelis 02 Jul '21

02 Jul '21

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>

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Online seminar by Matteo Brachetta (Polimi), July 14, 17:00
by Elisa Mastrogiacomo 01 Jul '21

01 Jul '21

*** 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

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Research fellowship, Statistics, Bologna
by Sabrina Mulinacci 01 Jul '21

01 Jul '21

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

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tenure-track position in probability at TU Vienna
by Prof. Fabio Toninelli 01 Jul '21

01 Jul '21

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

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