PhD Position F/M PhD Position F/M Responsible AI with Reinforcement Learning under Constraints
Inria
Villeneuve-d’Ascq, Nord
PhD Position F/M PhD Position F/M Responsible AI with Reinforcement Learning under Constraints
Le descriptif de l’offre ci-dessous est en Anglais
Niveau de diplôme exigé : Bac + 5 ou équivalent
Fonction : Doctorant
Niveau d'expérience souhaité : Jeune diplômé
A propos du centre ou de la direction fonctionnelle
The Inria Lille – Nord Europe research centre, created in 2008, has a staff of 360, including 305 scientists in 15 research teams. Recognised for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria Lille – Nord Europe research centre pursues a close relationship with large companies and SMEs. By promoting synergies between researchers and industrialists, Inria participates in the transfer of skills and expertise in digital technologies and provides access to the best European and international research for the benefit of innovation and companies, particularly in the region.
For more than 10 years, the Inria Lille – Nord Europe centre has been located at the heart of Lille's university and scientific ecosystem, as well as at the heart of Frenchtech, with a technology showroom based on Avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT).
Contexte et atouts du poste
In his/her journey to the doctoral thesis, the candidate will be supported by ANR JCJC project REPUBLIC, and supervised by Debabrota Basu and Odalric-Ambrym Maillard. Debabrota and Odalric are affiliated with the Scool project-team (previously SequeL) of Inria Centre at University of Lille. As a team, Scool is internationally recognised for developing theories and algorithms for sequential learning and decision making, i.e. in the fields of bandits and reinforcement learning.
The project is expected to simulate the existing and new collaborations with researchers and groups working on responsible AI, bandits, and reinforcement learning. The candidate will also be part of the HumAIn alliance that aims toward studying humane impact of deploying AI.
From the application point of view, Scool is involved in multiple projects that incorporates medical data, agricultural data, and e-commerce. Depending on the future development, we will be interested to deploy such responsible AI systems and algorithms for securing such applications.
Mission confiée
This position is entirely dedicated to do one's Ph.D. thesis. French rules put a strong emphasis on the fact that the Ph.D. is completed within 3 full years of studies.
It is also possible to teach up to a reasonnable amount of time per year (say 30 hours / year to give a rough idea os what we mean by "reasonnable").
For more details about the topic of the Ph.D., please drop an email to Debabrota and Odalric.
Principales activités
All research activities, that is bibliographical search, proposing original ideas related to the topic of the Ph.D. and developing them, presenting the work in the Scool seminar, workshops and conferences. Writing papers in order to get them accepted in the best conferences and journals of our field of research (e.g. ICML, NeurIPS, COLT, IJCAI, AAAI, JMLR). Since the work involves and impacts the responsible AI in general, the successful candidate should collaborate in writing scientific articles aiming towards the larger audience.
Compétences
The candidate should preferably have the following skills:
- A strong background in mathematics/statistics
- A good knowledge of machine learning, statistics, and algorithms
- Broad interest for responsible AI
- Knowledge of programming languages such as Python. C/C++
- Some experience with implementation and experimentation (a plus)
- A good command of English (a plus)
Please follow the instructions given in https://team.inria.fr/magnet/how-to-apply/ to set up your application file.
In brief, the application of the candidate should include his/her CV, an application letter, (two or more) recommendation letters, and the school transcripts. It is reccommended that the candidate contacts Debabrota and Odalric while preparing the application.
The deadline for application is 15th October, 2023.
Avantages
- 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 (sick children, moving home, etc.)
- 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