postdoctoral position on approximate Bayesian inference in Paris

Postdoctoral Position on Approximate Bayesian Inference in ParisMar 21, 2019As 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 acronym ABSint stands for Approximate Bayesian solutions for inference on large datasets and complex models. This call seeks candidates with an excellent research record and who are interested in collaborating 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 complex environments. The post-doctoral collaborator will be primarily located at 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 helps 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). The position opens on July 01, with possible accommodation for a later start in September or October.Deadline for application is April 30 or until the position is filled. Estimated gross salary is around 2500 EUR, depending on experience (years) since PhD. Candidates should contact Prof. 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. #J-18808-Ljbffr