Postdoctoral Researcher in Combinatorial Optimization
Há 5 horas
**Job Overview**
We are seeking a highly motivated postdoctoral researcher to join our team at Inria, the French national research institute for the digital sciences. The successful candidate will be part of the LACODAM team at the Inria Rennes research center and will work under the supervision of Élisa Fromont and Romaric Gaudel.
About the Project
The project focuses on solving combinatorial optimization problems using multi-armed bandit algorithms. Specifically, we aim to develop dedicated algorithms for Survivable Network Design (SND) problems. This involves designing, proving, implementing, and testing efficient algorithms that can handle large-scale networks with unknown parameters.
About the Position
We are looking for a researcher who is comfortable with mathematical formalism and has knowledge of multi-armed bandits or reinforcement learning. Experience with local search techniques and approximate optimization methods is an asset. The ideal candidate should be able to design, implement, and test algorithms, as well as analyze their performance.
Key Responsibilities
- Develop and implement novel multi-armed bandit algorithms for SND problems
- Analyze the performance of these algorithms using mathematical tools and simulations
- Collaborate with the team to integrate the developed algorithms into existing software frameworks
Requirements
- Ph.D. in Computer Science, Operations Research, or a related field
- Strong background in mathematical optimization, probability theory, and statistics
- Excellent programming skills in languages such as Python, C++, or Julia
Benefits
We offer a competitive salary of €2,788 per month, depending on experience. Additional benefits include:
- Partially reimbursed public transport costs
- 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours)
- Possibility of teleworking and flexible organization of working hours
- Access to vocational training and professional equipment
How to Apply
Please submit your application, including your resume, cover letter, and letters of recommendation, through our online portal. We look forward to receiving your application.
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