Dear colleagues,
We are happy to announce the following hybrid - that is, in person with online streaming - talk:
Speaker: Francesco Carlo De Vecchi (Università di Pavia)
Title: A differential characterization of exponential quantum field theory on the plane
Abstract: Characterizing a probability measure through an integration by parts formula is a classical problem in stochastic analysis. It finds applications in (Euclidean) quantum field theory, being related to the solutions of the equations of motion for the correlation functions of the quantum field. We approach this problem in the particular case of quantum field theory with exponential interaction on $\mathbb{R}^2$, studying a Fokker-Planck-Kolmogorov equation associated to the stochastic quantization equation for such a model. We prove that, under some conditions on the support of the measure, the solution to this Fokker-Planck-Kolmogorov equation exists and is unique, providing a complete characterization of the exponential measure by an integration by parts formula. The talk is based on a joint work with Massimiliano Gubinelli and Mattia Turra.
Date and time: Monday October 17, 14:00-15:00 (Rome time zone)
Place: Aula Beltrami, dipartimento di matematica dell’università di Pavia, via Ferrata 5, Pavia.
Entra nella riunione in Zoom
https://us02web.zoom.us/j/89875903841?pwd=NnJUclZidHl6RTg0a0ljcEVNVXp5UT09 <https://us02web.zoom.us/j/89875903841?pwd=NnJUclZidHl6RTg0a0ljcEVNVXp5UT09>
ID riunione: 898 7590 3841
Passcode: 262094
This talk is part of the
(PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics
organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico.
Participation is free and welcome!
Best regards
The organizers (Carlo Orrieri, Maurizia Rossi, Margherita Zanella)
Dear Colleagues,
I’m sending the job offer below on behalf of Johan Segers. Please forward it to any potential candidate.
Best wishes,
Elisa
---------------------------------------------------
UCLouvain invites applications for a tenure-track or tenured full-time position in Non-clinical Biostatistics
The successful candidate will teach mainly in the field of statistics, biostatistics, and data science. The successful candidate will develop his or her research activities in the field of non-clinical biostatistics and his or her expertise should therefore be complementary to that in clinical biostatistics and mathematical statistics currently present at the Institute of Statistics, Biostatistics and Actuarial Sciences. The successful candidate will have a particular interest in applications related to the life sciences and possibly industrial statistics. More information:
https://jobs.uclouvain.be/PersonnelAcademique/job/An-academic-position-in-N… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.uclo…>
Starting date: September 1st, 2023.
Application deadline: Monday November 14, 2022, at noon (UTC+1).
---------------------------------------------------
---
Elisa Perrone, Ph.D.
Assistant Professor
Department of Mathematics and Computer Science
Eindhoven University of Technology
elisaperrone.info <http://elisaperrone.info/>
Dear All,
Let me bring to your attention the following position as Research Fellow (postdoc 18 months) at the Department of Mathematics, University of Oslo:
https://www.jobbnorge.no/en/available-jobs/job/233446/research-fellow-at-th…
Deadline for application: October 30, 2022
The Research fellow is expect to work within the scope of STORM - Stochastics for Time-Space Risk Models.
In particular the research work will focus on the development of the theory and the application of models non-necessarily Markovian suitable for the modelling of market date and associated risks.
More details are given in the call.
Please feel free to distribute this ad further.
Best regards,
Giulia Di Nunno
Professor
Department of Mathematics
University of Oslo, Norway
Cari Colleghi,
scriviamo per informarvi riguardo la "Call for Papers" relativa alla
Special Issue/"//Advances in Optimal Control and Dynamic Games in
Economics, Finance and Insurance/" della rivista "Decisions in Economics
and Finance" (DEAF) di cui siamo guest editors:
https://www.springer.com/journal/10203/updates/23587054
Questo numero speciale di DEAF intende pubblicare lavori su tematiche di
controllo ottimo (deterministico e stocastico) e giochi differenziali
(ad N giocatori e di campo medio) e loro applicazioni economiche,
finanziarie ed attuariali.
I contributi potranno essere inviati nella finestra temporale
*01.11.2022 -- 30.06.2023*. La prima fase di revisione sarà terminata
entro il *30.10.2023* ed i lavori selezionati verrano pubblicati on-line
sul sito della rivista entro *Febbraio 2024*.
Potete trovare maggiori informazioni a riguardo nella sezione
"Manuscript Submission" alla pagina
https://www.springer.com/journal/10203/updates/23587054
Attendendo numerosi contributi, vi salutiamo cordialmente.
Salvatore Federico, Giorgio Ferrari, Luca Regis
Dear all,
our next One World ABC Seminar https://warwick.ac.uk/oneworldabc<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> is quickly approaching.
Our next speaker is Radu Craiu <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Futstat.to…> (University of Toronto), who will talk about "Bayesian Computation Strategies for Big Data and Intractable Models" on Thursday, October 20, 2.30pm Uk time (Zoom link and password are reported below)
Abstract: Bayesian computation is in double jeopardy due to massive data volumes that make the usual MCMC samplers too computationally expensive and/or models with intractable likelihoods. Even under such adverse conditions, Bayesian data analysis can still be conducted using divide and conquer strategies and/or approximate methods such as Approximate Bayesian Computation (ABC) or Bayesian Synthetic Likelihood (BSL). We discuss some recent work that addresses these challenges, including perturbed MCMC samplers that are used within the ABC and BSL paradigms to significantly accelerate computation while maintaining control on computational efficiency.
Zoom link to join:
https://chalmers.zoom.us/j/69336662676<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fchalmers.…>
Password: 776005
We are looking forward to seeing you next Thursday,
best wishes,
Massimiliano on the behalf of the One World ABC Organisers
------
Dr. Massimiliano Tamborrino
Assistant Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>
---------- Forwarded message ----------
Date: Tue, 11 Oct 2022 10:06:25 +0000
From: Tölle Jonas <jonas.tolle(a)aalto.fi>
Subject: 3 Lecturer positions in the fields of Mathematics,
Statistics and Operations Research at Aalto University,
Finland (closing 30.11.2022)
Dear Friends,
I would like to let you know that we are looking for lecturers in the fields of
Mathematics, Statistics and Operations Research
here at Aalto University, Helsinki capital area, Finland.
https://www.aalto.fi/en/open-positions/3-lecturer-positions-in-the-fields-o…
Please feel free to forward this email to suitable candidates from your network!
The application closes on 30.11.2022.
Kind regards,
Jonas
--
Jonas Tölle
University Lecturer
Aalto University
School of Science
Department of Mathematics and Systems Analysis
PO Box 11100
FI-00076 AALTO
FINLAND
Otakaari 1 (Room Y234)
ESPOO
FINLAND
jonas.tolle(a)aalto.fi
https://math.aalto.fi/en/https://jonas-toelle.com
Dear all,
I am pleased to announce the next seminar in our series.
Speaker: Antoine Jacquier , Imperial College London
Abstract: We introduce several algorithms from Quantum Computing
technologies aimed at providing speedup compared to their classical
counterparts. We shall highlight in particular how quantum entanglement
provides potential expressive explanatory power for neural networks. Time
permitting, we will showcase further applications to linear systems and
PDEs and to optimisation problems.
The seminar will be held on October 13 at 12 on campus, Room T03 - viale
Romania 32, Roma. There is also a link for remote participants,
*Link Aula T03: *
https://luiss.webex.com/luiss-en/j.php?MTID=m6d5428b7dfa533b2f634971d60f58e…
*User:* w_guest(a)luiss.it
*Password:* iW4pw3TYs2Q
Best regards,
Sara
--
Sara Biagini, Professor of Mathematical Finance
Department of Economics and Finance
LUISS Guido Carli https://www.luiss.it/
Address: Viale Romania, 32 - 00197 Roma
Web: http://sites.google.com/site/sarabiagini/
Con preghiera di diffusione a potenziali interessati.
Grazie
Matteo Ruggiero
---
Matteo Ruggiero
University of Torino and Collegio Carlo Alberto
www.matteoruggiero.it <http://www.matteoruggiero.it/>
Postdoctoral position at the University of Torino
Title: FAST INFERENTIAL STRATEGIES WITH COX-INGERSOLL-ROSS DRIVEN HIDDEN MARKOV MODELS AND THEIR EXTENSIONS
Supervisor: Matteo Ruggiero (University of Torino and Collegio Carlo Alberto) www.matteoruggiero.it <http://www.matteoruggiero.it/>
Brief description:
The project aims at improving current inferential techniques addressed to diffusions like Cox-Ingersoll-Ross processes or their extensions, e.g. Dawson-Watanabe processes, or transformations, e.g., Wright-Fisher and Fleming-Viot diffusions. We will tackle Bayesian inference on the trajectory of such diffusions or on the parameters that characterize drift and volatility, under the assumption of a hidden Markov model framework with noisy data collection. We will typically exploit duality properties, which allow to write the conditional distributions of the hidden signal given the data in simpler forms than those obtained through the transition density of the signal, especially when the latter is only available as a series expansion, together with simulation and approximation strategies, which aim at accelerating the inference by leveraging on the discrete nature of the dual process state space. Such approaches will be used to make direct inference on the process trajectory and to set up Markov chain Monte Carlo strategies that target the estimation of the process parameters.
Duration: 12 months, renewable.
Application deadline: h13 Oct 24, 2022
Starting date: Dec 1 or later, 2022
Further info: matteo.ruggiero(a)unito.it
Applications through
https://www.serviziweb.unito.it/albo_ateneo/ <https://www.serviziweb.unito.it/albo_ateneo/>
Reference number for the call: 4382; code reference in the call: ESOMAS.2022.08/XXIV.
---------- Forwarded message ---------
Assegno di ricerca in area 13 presso il Campus di Rimini dell'Universita'
di Bologna (Dipartimento di Scienze Statistiche)
Il titolo e' “Possibilistic and probabilistic models for climate and energy
risk: Applications to energy and insurance"
Il bando si trova sul sito
https://bandi.unibo.it/ricerca/assegni-ricerca?str=stat
<https://bandi.unibo.it/ricerca/assegni-ricerca?str=stat>
Assegni di ricerca <https://bandi.unibo.it/ricerca/assegni-ricerca?str=stat>
property=
bandi.unibo.it
Per scaricare il bando occorre selezionare il Dipartimento di Scienze
Statistiche nel menù a tendina.
Occorre o il Dottorato o se non ancora conseguito essere stati ammessi
all'Esame finale di Dottorato.
La scadenza e' il giorno 24 ottobre 2022.
Partially rectifying a previous message:
Good morning,
Hope my email finds you well.
We are hiring a *PhD position in Statistics at the University of
Milano-Bicocca from December 2022* (session III, published on
October 3,2022, with *deadline for application on October 17 *at noon).
More information about the content of the research can be found below, and
at the link
https://en.unimib.it/education/postgraduates/doctoral-research-phd-programm…
Best,
Francesca Greselin
<https://www.scopus.com/authid/detail.uri?authorId=25936155400>
Department of Statistics and Quantitative Methods
University of Milano-Bicocca
*Title of the research*
Statistical methodologies for the development of green and eco-sustainable
cosmetic products from marine environmental DNA
*Abstract *
Sustainable Fashion, Luxury, and Design are currently key sectors of
Milan's economy. There is an increasing interest in an ecological and
digital transition within all economic sectors, and Milan Universities,
together with many innovative firms, are heading such an effort, also in
the cosmetics field. This research project aims to contribute to
transforming the production and distribution processes within the area of
cosmetics to reduce environmental impacts and foster the market transition.
The research will have a first phase to perform market research on
cosmetics and luxury, firstly on bibliographic sources, and successively
integrating different sources of information obtained from public
repositories and from specific analyses that can be conducted on web
scraped data. The first part of the study aims to understand and assess
customers' interest in green cosmetics for topical use and identify the
specific features that could make a difference in market share. As a
result, particular skills related to data collection through different
sources, data cleaning, and data integration should be developed along with
the research. It also involves the processing of a vast amount of data,
therefore, a good familiarity with and/or predisposition to the use of big
data is welcome and desirable. Research should be carried on to devise the
key factors required by the market or beneficial to it, and to scrutinize
appropriate models for economic forecasting. The second phase of the
research will be carried out on experimental data originated by studying
new products. Within a wise ecological transition, microplastics will be
replaced with natural materials for cosmetic products. This transition will
be performed in collaboration with the Bicocca Marhe center (located on
Maldives island), where particular plant species are found, and great
biodiversity is available for the purpose. The activities will be conducted
under a surveillance protocol to monitor these marine species' conservation
status and assess the impact of human activities, to protect important
offshore marine sites. Experiments with new cosmetics will also originate
from studies of the microbiota of the skin, and how it is altered and
modified with newly developed products. New chemical formulas will be
experimented to find alternatives to analog formulas used in valid but not
green cosmetics, perfecting and optimizing existing molecules, and
formulating them as better alternative products. Finally, the third part of
the research will be devoted to providing indications for production and
distribution processes that will agree with the project's overall purpose
of sustainability. Possible research exchange visits are envisaged with
other foreign universities currently involved in ongoing collaborations.