Archive for ANR

BASICS workshop in Paris [29-30/09]

Posted in pictures, Statistics, Travel, University life with tags , , , , , , on September 19, 2022 by xi'an

There will be a workshop on Bayesian non-parametrics, deep learning and uncertainty quantification, marking the closure of the BASICS ANR project, at Paris Sorbonne University, on campus Pierre et Marie Curie, on 29-30 September, with many friends speaking there. The participation is free. Registration is, however, compulsory and now open.

mathematical understanding of neural networks through mean-field analysis [PhD studenship]

Posted in Kids, Mountains, pictures, Running, Statistics, Travel, University life, Wines with tags , , , , , on June 26, 2020 by xi'an

Arnaud Guillin and Manon Michel from the Université Clermont-Auvergne are currently looking for PhD candidates interested in the mathematical analysis of neural networks via the tool of mean-field analysis. With full funding available. Candidates can contact Arnaud Guillin at uca.fr.

repulsive postdoc!

Posted in Statistics with tags , , , , , , , , , , on December 20, 2019 by xi'an

Rémi Bardenet has been awarded an ERC grant on Monte Carlo integration via repulsive point processes and is now looking for a postdoc starting next March. (Our own ABSINT ANR grant still has an open offer of a postdoctoral position on approximate Bayesian methods, feel free to contact me if potentially interested.)

postdoc position still open

Posted in pictures, Statistics, University life with tags , , , , , , , , , , , , , , on May 30, 2019 by xi'an

The post-doctoral position supported by the ANR funding of our Paris-Saclay-Montpellier research conglomerate on approximate Bayesian inference and computation remains open for the time being. We are more particularly looking for candidates with a strong background in mathematical statistics, esp. Bayesian non-parametrics, towards the analysis of the limiting behaviour of approximate Bayesian inference. Candidates should email me (gmail address: bayesianstatistics) with a detailed vita (CV) and a motivation letter including a research plan. Letters of recommendation may also be emailed to the same address.

absint[he] post-doc on approximate Bayesian inference in Paris, Montpellier and Oxford

Posted in Statistics with tags , , , , , , , , , , , , , on March 18, 2019 by xi'an

As a consequence of its funding by the Agence Nationale de la Recherche (ANR) in 2018, the ABSint research conglomerate is now actively recruiting a post-doctoral collaborator for up to 24 months. The accronym ABSint stands for Approximate Bayesian solutions for inference on large datasets and complex models. The ABSint conglomerate involves researchers located in Paris, Saclay, Montpelliers, as well as Lyon, Marseille, Nice. This call seeks candidates with an excellent research record and who are interested to collaborate with local researchers on approximate Bayesian techniques like ABC, variational Bayes, PAC-Bayes, Bayesian non-parametrics, scalable MCMC, and related topics. A potential direction of research would be the derivation of new Bayesian tools for model checking in such complex environments. The post-doctoral collaborator will be primarily located in Université Paris-Dauphine, with supported periods in Oxford and visits to Montpellier. No teaching duty is attached to this research position.

Applications can be submitted in either English or French. Sufficient working fluency in English is required. While mastering some French does help with daily life in France (!), it is not a prerequisite. The candidate must hold a PhD degree by the date of application (not the date of employment). Position opens on July 01, with possible accommodation for a later start in September or October.

Deadline for application is April 30 or until position filled. Estimated gross salary is around 2500 EUR, depending on experience (years) since PhD. Candidates should contact Christian Robert (gmail address: bayesianstatistics) with a detailed vita (CV) and a motivation letter including a research plan. Letters of recommendation may also be emailed to the same address.