2 Postdoc Positions in Machine Learning at INRIA Lille
The SEQUEL (Sequential Learning) lab of INRIA Lille, France, https://sequel.lille.inria.fr/ is seeking to appoint two Postdoctoral Fellows.
The positions are funded by the newly launched European COMPLACS project (Composing Learning for Artificial Cognitive Systems) http://www.csml.ucl.ac.uk/projects/complacs/
and also the french EXPLO-RA project (Exploration-Exploitation for Efficient Resource Allocation. Applications to optimization, control, learning, and games) http://sites.google.com/site/anrexplora/Home
We welcome applicants with a good mathematical background who are interested in working on such topics as bandit algorithms, sequence prediction, learning in Markovian environments, reinforcement learning, game theory, non-parametric statistics of time series, and/or related topics.
The research will be conducted under the supervision of Remi Munos, Mohammad Ghavamzadeh, Daniil Ryabko, and Alessandro Lazaric.
The positions are research only and are for two years, with the possibility of being extended. The starting date is flexible and can be as early as needed.
INRIA is France’s leading institution in Computer Science, with over 2800 scientists employed, of which around 250 in Lille. Lille is the capital of the north of France, a metropolis with 1 million inhabitants, with excellent train connection to Brussels (30 min), Paris (1h) and London (1h30).
The Sequel lab is a dynamic lab at INRIA with over 25 researchers (including PhD students) which covers several aspects of machine learning from theory to applications, including statistical learning, reinforcement learning, and sequential learning.
Candidates must have a Ph.D. degree (by the starting date of the position) in computer science, statistics, or related fields, possibily with background in reinforcement learning, bandits, games, or optimization.
To apply please send a CV to remi.munos(at)inria.fr or mohammad.ghavamzadeh(at)inria.fr, or daniil.ryabko(at)inria.fr, or alessandro.lazaric(at)inria.fr
