Ricevo e con piacere inoltro
Buona giornata
Alessandra
---------- Forwarded message ---------
From: Christophe Garban <christophe.garban(a)gmail.com>
Date: Fri, 29 Nov 2024 at 09:35
Subject: Postdoc position in Lyon in probability / mathematical physics
(2025-2027)
Dear colleagues,
I am currently advertising a two-year postdoc position in
probability/mathematical physics in University of Lyon 1, with deadline
January, 16th.
Please transfer the announcement below to potential candidates.
Thanks a lot!
Best wishes,
Christophe.
----------------------
Postdoc position in Lyon for 2025
Université Lyon 1
(funded by the ERC project Vortex)
Applications are invited for a postdoc position in probability/mathematical
physics at the University Lyon 1, in the Laboratoire Institut Camille
Jordan. The postdoc is funded by the European Research Council grant
"Vortex".
Main research areas include: Villain and XY model, Coulomb gas,
Berezinskii-Kosterlitz-Thouless transition, lattice gauge theory, Gaussian
Free Field, Ising and dimer models, percolation, localisation and
delocalisation of interfaces, classical Heisenberg model, planar
statistical physics.
Practical information:
(you may also click on this link :
http://math.univ-lyon1.fr/~garban/Fichiers/PostdocInLyon2025.pdf )
- The position is for two years, with a salary of approx. 38000 per year
(between year 0 and 3 after PhD) and approx. 50000 euros per year (between
year 3 and 7 after PhD).
- Substantial financial support to attend conferences, workshops and invite
collaborators will be granted. (Approx 5000 euros/year).
- No teaching.
- A lot of activity around probability in Lyon.
- Great city :-)
- The expected starting date is September 2025, but a different date may be
arranged.
Application and deadline:
Applications including a CV, a list of publications and a (approximately)
three-pages description of research interests should be sent by email to
Christophe Garban (christophe.garban(a)gmail.com) before *January 16th, 2025.*
Applicants should also arrange for up to three letters of recommendation to
be sent to the same address.
They will be evaluated first on January 17th, 2025 and then on a rolling
basis.
*Contacts: *(all members of the ERC project Vortex).
Christophe Garban (christophe.garban(a)gmail.com)
Diederik van Engelenburg (diederikvanengelenburg(a)gmail.com)
Romain Panis (panis(a)math.univ-lyon1.fr)
Franco Severo (severo(a)math.univ-lyon1.fr)
Avelio Sepúlveda (lsepulveda(a)dim.uchile.cl)
Jean-Marie Stéphan (stephan(a)math.univ-lyon1.fr)
--
*************************************************
Prof. Alessandra Faggionato
https://www1.mat.uniroma1.it/people/faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 123, first floor
*************************************************
Ricevo e volentieri inoltro.
Cordialmente, Gianluca.
______________________________________________________________________________________________________________________________________________________________________________________________________________________________
PhD position at Hamburg University of Technology
The Institute of Mathematics of Hamburg University of Technology invites
applications for a PhD position in probability theory. The topics of the
research group include stochastic geometry, limit theorems, Stein's
method, random graphs and extreme value theory. The position comes with
some teaching duties (four hours per week during the semester).
The successful candidate is expected to have a Master's degree in
Mathematics or a related field, a good background in probability theory
and proficiency in written and spoken English. Knowledge of German is
helpful but not necessary.
The position (100%, TV-L 13) is for four years. The starting date should
be between March 2025 and early summer.
Please apply by December 19, 2024 online via our application portal,
where you can find more information:
https://stellenportal.tuhh.de/y2qm2
For questions please contact Prof. Dr. Matthias Schulte at
matthias.schulte(a)tuhh.de.
*
*
Dear all,
The School of Mathematics and Statistics at the University of Melbourne has
recently opened a position in Statistics and Data Science Education at the
Lecturer/Senior Lecturer Level. Lecturer corresponds to a tenure-track
position/RTT, while senior lecturer is a tenured assistant professorship.
More information and a detailed description of the position, and how to
apply, can be found here (including salary, visa sponsorship etc)
https://jobs.unimelb.edu.au/caw/en/job/918680/lecturer-senior-lecturer-in-s…
*The deadline for applying is December 11, 2024.*
*About the Role*You will lead an innovative program of education, both in
the classroom and in developing leadership in the area. You will also have
a strong commitment to research and scholarship in statistics education.
Your responsibilities will include:
- Effective preparation and delivery of lectures at undergraduate and
postgraduate level and assessment of that material, including as Subject
Coordinator.
- Proactive development of subject materials and delivery, including the
use of modern technology and online resources as appropriate.
- The contribution to knowledge through scholarship, refereed publications
and presentations.
- Active supervision of students.
- Presentation of research to the public to elevate public awareness of
educational and scientific developments and promote critical enquiry and
public debate within the community.
*Who We Are Looking For*- You will have demonstrated and/or growing
excellence in education. You will be adept at teaching both large
undergraduate classes and advanced graduate-level applied mathematics
subjects, collaborating effectively with colleagues and contributing to
administrative tasks. You will develop research directions and scholarship
relevant to statistics education.
- A PhD or equivalent research higher degree in statistics or a closely
related discipline.
- Demonstrated education excellence in relation to career stage.
- Demonstrated potential for research and scholarship.
- The ability to interact well with other academic staff and to contribute
to the administration of a large school
Do not hesitate to reach out to me if you have any questions about the
application process or working/living in Melbourne.
Best,
Marco Carfagnini (he-they) | Lecturer
School of Mathematics and Statistics
Office 139
University of Melbourne
Dear all,
I am looking to hire a Postdoc to work broadly on Multiscale Methods and Interacting Particle Systems. What I am looking for is someone with background in stochastic analysis/probability/ analysis/numerical analysis. Ideally a person interested in developing theory motivated by applications.
The position is for three years and a half, starting in May 2025. The closing date for applications is January 31st.
I would be grateful if you could circulate the ad below to collaborators and to potential candidates.
https://www.jobs.ac.uk/job/DKV462/research-associate-ftc-42-months
I am also interested in hiring a PhD student, not necessarily to work on the same project as the postdoc but still in (applied) stochastic problems. A description of the projects I offer and links to apply can be found on my homepage https://www.macs.hw.ac.uk/~mo3/ If the student has any problems navigating the links for the application process they should get in touch with me.
For either positions I am more than happy to be contacted by potential applicants for an informal chat.
Thanks for your time,
Michela
--------------------------------------
Michela Ottobre
Professor of Mathematics
Heriot-Watt University
https://www.macs.hw.ac.uk/~mo3/
My working hours are flexible. I do not expect a reply outside of your normal working hours
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Dear Colleagues,
as part of the Visiting Professors program of the Master's Degree in Stochastics and Data Science at the University of Torino (full program available at https://www.master-sds.unito.it/go/visiting), we are pleased to announce the following short course:
———————————————————
Kolyan RAY (Imperial College London)
POSTERIOR ASYMPTOTICS IN BAYESIAN NONPARAMETRICS
This mini-course will cover an introduction into the asymptotic theory for Bayesian nonparametric procedures. This provides a useful tool to understand how prior choices can affect the statistical performance of the Bayes method in high or infinite dimensional models. We will cover the notion of posterior consistency and convergence rates, using Gaussian process priors as a canonical example. At the end, we will also touch on recent extensions of such theory to variational Bayes, which provides a scalable posterior approximation algorithm.
———————————————————
The course will be held exclusively in-person, according to the following schedule:
- Tue Dec 10, h. 9.15-11.15
- Wed Dec 11, h. 11.15-13.00
- Thu Dec 12, h. 9.15-11.15
- Thu Dec 12, h. 14.00-16.00
Course location: Room 30, third floor, Corso Unione Sovietica 218/bis, 10134, Torino.
The participation is open to everyone interested.
Best regards,
Matteo Ruggiero
---
Matteo Ruggiero
University of Torino and Collegio Carlo Alberto
www.matteoruggiero.it
Buongiorno a tutti,
Vorremmo segnalarvi che venerdì prossimo (29 Novembre) alle ore 14:30 in aula 2BC30 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di:
Alex Delalande (EPFL Losanna)
https://alex-delalande.github.io
Title: Sharper Exponential Convergence Rates for Sinkhorn's Algorithm in Continuous Settings
Date: November 29, 2024, at 14:30, room 2BC30
Abstract: In this talk, I will present recent results I obtained in collaboration with Lénaïc Chizat and Tomas Vaškevičius regarding the convergence rate of Sinkhorn's algorithm for solving entropy-regularized optimal transport problems, in the context where at least one of the probability measures, say \mu, admits a density over \R^d. For a semi-concave cost function bounded by c∞ and a regularization parameter λ>0, we obtained exponential convergence guarantees on the dual sub-optimality gap with contraction rates that are polynomial in λ/c∞. This represents an exponential improvement over the known contraction rate 1−Θ(exp(−c∞/λ)) achievable via Hilbert's projective metric. Specifically, we proved a contraction rate value of 1−Θ(λ²/c²∞) when has a bounded log-density. In some cases, such as when is log-concave and the cost function is c(x,y)=−⟨x,y⟩, this rate improves to 1−Θ(λ/c∞). The latter rate matches the one that we derived for the transport between isotropic Gaussian measures, indicating tightness in the dependency in λ/c∞. Our results are fully non-asymptotic and explicit in all the parameters of the problem.
Vi aspettiamo numerosi!
Alberto Chiarini e Alekos Cecchin
Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/
Dear All,
There are open PhD positions in Probability at King’s College London with a (flexible) starting date of October 2025. We have fully funded PhD projects in various areas of pure and applied probability. Outstanding candidates with a UK first-class undergraduate degree or international equivalent are encouraged to apply. PhD funding will be available for 3.5-4 years, and includes tuition fees, tax free stipend set at UKRI rate plus London weighting, as well as an allowance for research-related travel.
Further information may be found in the links below:
https://www.kcl.ac.uk/study-legacy/funding/phd-studentship-interacting-part…https://www.findaphd.com/phds/program/kings-college-london-phd-studentships…
Interested candidates are encouraged to contact Sam Johnston (samuel.g.johnston(a)kcl.ac.uk), Alexandre Stauffer (a.stauffer(a)kcl.ac.uk) or any other member of the Probability group via email.
Thanks,
Alexandre
Dear All,
The Department of Mathematics at the University of Rome, Tor Vergata, is advertising a postdoctoral position in Probability:
https://bandi.mur.gov.it/bandi.php/public/fellowship/id_fellow/285852
The position is for two years, with no teaching duties. Candidates with an interest in the geometry of random fields and/or in applications to machine learning will be given priority, but we welcome applications from researchers with a strong background in any area of probability theory. The application deadline is December 27th.
For further information, please do not hesitate to contact us:
marinucc(a)mat.uniroma2.it <>
salvi(a)mat.uniroma2.it <>
vigogna(a)mat.uniroma2.it <>
Best regards,
Michele
Dear Colleagues,
This is the second announcement for the winter school *Statistical
Mechanics, Nonequilibrium Processes, and Probability*, which will take
place on *February 17-28, 2025*, at the Mathematics Department of Sapienza
University, Rome.
We are pleased to inform you that the *registration deadline for the
school has been extended to December 20, 2024*, and to share the link to
the school’s website:
https://sites.google.com/view/winterschoolsapienza/home
To register, please complete the form available on the website (here
<https://sites.google.com/view/winterschoolsapienza/registration?authuser=0>
the
link). Participation is *free*, but registration is mandatory.
The school will also include *short talk sessions* for PhD students and
early postdocs.
*Lecturers of the February school:*
*Week 1 (Feb 17–21):*
- Kazuo Aoki (National Cheng Kung University & Kyoto University)
- Eric Carlen (Rutgers University)
- Alessia Nota (University of L'Aquila)
- Benjamin Schlein (University of Zurich)
*Week 2 (Feb 24–28):*
- Paul Dario (University of Paris-Est Créteil)
- Sabine Jansen (Ludwig Maximilian University)
- Eva Löcherbach (University of Paris 1)
- Fabio Toninelli (Technical University of Vienna)
The school will inaugurate the scientific *Eccellenza* program at Sapienza,
titled *Statistical Mechanics and Nonequilibrium Processes*, which will
conclude in July 2025. This program includes workshops, doctoral courses,
and seminar series. More information about the program will be found on the
following website: program
<https://sites.google.com/uniroma1.it/excellence-department-mmsp/mmsp-th-per…>
.
Both the winter school and the *Eccellenza* program will focus on several
topics, including:
- kinetic theory and probability,
- random growth models,
- percolation,
- probabilistic models for neural networks,
- quantum-mechanical transport,
- non-dissipative transport in topological materials, and
- large-scale limits.
The common thread is the rigorous mathematical investigation of equilibrium
and nonequilibrium phenomena and statistical physics models. Our goal is to
present current research directions at an accessible level for students and
young researchers, fostering collaborative research in these areas.
For additional information, do not hesitate to contact us.
Best regards,
The local coordinators
Giada Basile
Alessandra Faggionato
Vittoria Silvestri
Sergio Simonella
Lorenzo Taggi
Dear all,
On Tuesday, December 3rd, at 14h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host
Carlo Ciliberto (University College London) with the seminar
“Operator World Models for Reinforcement Learning”
Abstract: Policy Mirror Descent (PMD) is a powerful and theoretically sound methodology for sequential decision making. However, it is not directly applicable to Reinforcement Learning (RL) due to the inaccessibility of explicit action-value functions. We address this challenge by introducing a novel approach based on learning a world model of the environment using conditional mean embeddings. Leveraging tools from operator theory we derive a closed-form expression of the action-value function in terms of the world model via simple matrix operations. Combining these estimators with PMD leads to POWR, a new RL algorithm for which we prove convergence rates to the global optimum. Preliminary experiments in finite and infinite state settings support the effectiveness of our method.
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.