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Postdoctoral Researcher in Resource-Efficient Learning
Il y a 2 mois
We are seeking a highly motivated postdoctoral researcher to join our team at INRIA, a world-renowned research institution in France. The successful candidate will contribute to the development of novel algorithms and techniques for resource-efficient large-scale learning.
About the ProjectOur research focuses on the design and analysis of efficient machine learning algorithms, with a particular emphasis on sparse deep networks. The recruited postdoc will work closely with our team to advance the state-of-the-art in this area and explore new research directions.
Responsibilities- Conduct research in the area of resource-efficient machine learning, with a focus on sparse deep networks.
- Develop and analyze novel algorithms and techniques for efficient learning.
- Collaborate with our team to advance the state-of-the-art in this area.
- Present research results at international conferences and workshops.
We are looking for a highly motivated and talented researcher with a strong background in machine learning, signal processing, or a related field. The ideal candidate should have a Ph.D. in a relevant area and a strong publication record. Previous experience in sparse signal representations or statistical machine learning is a plus.
Benefits- Subsidized meals and partial reimbursement of public transport costs.
- 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 and social security coverage under conditions.
Gross salary: 2788 € per month (social security included, income tax excluded).
