PhD Position F/M in Robust Reinforcement Learning
il y a 2 semaines
In the framework of the PEPR project FOUNDRY, we are seeking a PhD candidate to work on the development of robust and private reinforcement learning algorithms. The successful candidate will be supervised by Debabrota and Emilie and will have the opportunity to collaborate with researchers and groups working on privacy-preserving machine learning, robustness, adaptive testing, and reinforcement learning.
Research ObjectivesThe PhD project aims to study the impact of privacy on the performance of reinforcement learning algorithms in structured settings, such as Markov Decision Processes (MDPs) and contextual bandits. The candidate will design and develop optimal, computationally efficient algorithms that preserve privacy while achieving high performance. Additionally, the project will investigate the impact of unbounded corruption in feedback and safety constraints in stochastic multi-armed bandits and active testing.
Expected OutcomesThe successful candidate is expected to publish research results in premier conferences and journals of the field, such as ICML, NeurIPS, COLT, IJCAI, AAAI, and JMLR. The candidate will also collaborate in writing scientific articles aiming towards a larger audience.
Requirements- Strong background in mathematics/statistics
- Good knowledge of machine learning, statistics, and algorithms
- Broad interest for differential privacy and robustness
- Knowledge of programming languages such as Python and C/C++
- Some experience with implementation and experimentation (a plus)
- Good command of English
The application should include the candidate's CV, an application letter, two or more recommendation letters, and school transcripts. It is recommended that the candidate contacts Debabrota and Emilie while preparing the application.
Benefits- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural, and sports events and activities
- Access to vocational training
- Social security coverage
1st and 2nd year: 2100 € (gross monthly salary)
3rd year: 2190 € (gross monthly salary)
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PhD Position F/M in Robust Reinforcement Learning
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and OpportunitiesIn the framework of the PEPR project FOUNDRY, we are seeking a PhD candidate to work on the development of robust and private reinforcement learning algorithms. The successful candidate will be supervised by Debabrota and Emilie and will have the opportunity to collaborate with researchers and groups working on privacy-preserving...
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