Inria, the French national research institute for the digital sciences.
Organisation/Company: Inria, the French national research institute for the digital sciences.
Research Field: Computer science, Mathematics.
Researcher Profile: Recognised Researcher (R2).
Country: France.
Application Deadline: 29 Jun 2025 - 22:00 (UTC).
Type of Contract: Temporary.
Job Status: Full-time.
Hours Per Week: 38.5.
Offer Starting Date: 1 Jan 2025.
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme.
Reference Number: 2023-06821.
Is the Job related to staff position within a Research Infrastructure? No.
This project is based on a collaboration between Scool and a medical team at Inserm/CHU de Lille that have been active for 5 years now.
The scientific goal of this collaboration is to investigate the exploitation of data to improve patient follow-up after surgery. We model this problem as a sequential decision making under uncertainty problem.
This collaboration has already produced interesting results, in the form of a website, presentations in conferences, and publications in top machine learning conferences, and top medicine journals.
This collaboration involves about 10 people: data engineer, PhD student, post-doc, researchers, professors.
The recruitee will work in close relation with both teams, Scool and the Inserm team.
With Scool, the goal is to explore how the problem at hand can be modeled, most likely as a contextual bandit problem, propose algorithms, study their theoretical properties.
With the Inserm team, the goal is to investigate the application of this work to the real practical case.
These two lines of work are intrinsically strongly tied to each other.
Main Activities:
Finding and studying the related literature.
Proposing ideas to address the problem at hand.
Investigating these ideas on both fronts: theoretically, and from the application point of view.
Presenting the work to the members of the project and working with them to go further.
Writing papers to be submitted to top conferences in ML/AI, and in top journals in medicine.
Presenting the work in international scientific events.
A strong background in machine learning, in particular in bandit theory, is especially required.
Skills in practical aspects of statistics/data science are necessary, the more elaborate the better.
Scientific communication skills (speaking, writing) are essential.
Specific Requirements:
Passion for research.
Strong working abilities.
Strong interest in the collaboration between theory of machine learning and its practical application.
Ability to easily interact with the people involved in the project.
Be able to propose original and meaningful ideas, and defend them.
Languages:
FRENCH - Level: Basic
ENGLISH - Level: Good
Additional Information 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.
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