Every year, SequeL is looking for:
- graduate students to complete their PhD
- post-docs
- R & D engineers
- full-time researchers (junior / senior)
General schedule:
- applications are due at the end of winter/beginning spring, each year
- acceptance in the early summer, each year
- positions are actually open in fall, each year
So, for the next year, get in touch no later than winter!
You may also consider the following possibilities:
- staying with us during your sabbatical
Positions in 2018
- Inria Lille cherche un ingénieur Machine Learning, computer vision ; voir l’offre de poste. Recrutement au plus vite. Maîtrise du français indispensable. Ce poste d’ingénieur est ouvert au niveau du centre ; une partie du travail sera réalisée avec SequeL, le reste en interaction avec d’autres équipes-projets du centre.
Researcher positions at INRIA (CR, DR)
- Deadline for application: Feb 19th, 2018
- all information is on the Inria website
If you wish to apply, get in touch NOW with philippe -dot- preux -at- inria -dot- fr
Associate professor at Université de Lille
One tenure position as associate professor in computer science will be opened in 2018. The profile is machine learning.
- Application due end of March 2018 (through dedicated web site Galaxie): precise deadline and website will be posted
- Interview: May 22nd, 2018
- Time to get in touch: now
- See a brief description here
Application before end of March 2018.
If interested, get in touch with Philippe Preux.
Postdocs and PhDs
Postdoc positions
PhD positions
Starting Fall 2018. Application Winter-Spring 2018 (get in touch asap).
- title: Structure adaptation in Reinforcement Learning”, superviser: Odalric Maillard
- title: Deep reinforcement learning in stochastic and non stationary environments”, superviser: Philippe Preux
- title: Efficient Sequential Learning in Dynamic Environments (E. Kaufmann and M. Valko) – start possible anytime
- more to come
Internships
- Structured set of Bandits
- Structured Bandits: Should Optimism strike back?, supervision: Odalric-Ambrym Maillard
- Optimal exploration in Multi-armed bandits, supervision: Odalric-Ambrym Maillard
- Computational complexity in Multi-armed Bandits, supervision: Odalric-Ambrym Maillard
- Sensitivity analysis and intrinsic horizons in Markov Decision Processes, supervision: Odalric-Ambrym Maillard
- Reinforcement Learning with Predictive State Representations, supervision: Odalric-Ambrym Maillard
- Multi-armed bandits for Time-Series Contexts, supervision: Odalric-Ambrym Maillard, Philippe Preux
- Deep reinforcement learning: going beyond alphago0, supervision: Philippe Preux
- Time series: ARIMA or LSTM, or ?, supervision: Philippe Preux
- Learning to solve the Rubik’s cube , supervision: Philippe Preux
- Object that sounds: Fusing image and sound with Neural Networks, supervision: Olivier Pietquin
- title: Efficient Sequential Learning in Dynamic Environments (E. Kaufmann and M. Valko) – possibly linked to a PhD position