Postdoctoral Researcher in Resource-Efficient Learning
il y a 3 jours
Context and Key Features of the Position
In the framework of a partnership between Inria and the Ecole Normale Supérieure de Lyon, we are seeking a highly motivated postdoctoral researcher to join our team and contribute to the development of resource-efficient large-scale learning algorithms.
Research Focus
The recruited postdoc will conduct a vigorous research program within the scope of the project, focusing on the design and analysis of algorithms for efficient machine learning. The successful candidate will be expected to demonstrate independence and team working attitude, as well as bring expertise to the AllegroAssai task force.
Key Responsibilities
- Conduct research in the area of resource-efficient large-scale learning
- Develop and analyze algorithms for efficient machine learning
- Collaborate with the AllegroAssai task force and other groups at ENS de Lyon
- Contribute to the development of the project
Requirements
Candidates should hold a Ph.D. in a relevant field, such as applied mathematics, statistics, signal processing, machine learning, or computer science. Previous experience in sparse signal representations or statistical machine learning is preferred, but experience in related areas is suitable.
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 (90 days/year) and flexible organization of working hours
- Access to vocational training
- Social security coverage under conditions
Salary
Gross salary: 2788 € gross salary/month (social security included, income tax excluded)
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