Postdoctoral Researcher in Resource-Efficient Machine Learning
il y a 5 jours
Job Context and Requirements
The Ecole Normale Supérieure de Lyon and Inria are seeking a highly motivated postdoctoral researcher to join their team in the field of resource-efficient machine learning. The successful candidate will conduct a vigorous research program within the scope of the project, focusing on developing novel algorithms and techniques for sparse deep networks.
Key Responsibilities
- Design and implement novel algorithms for sparse deep learning
- Conduct thorough experimental evaluations and comparisons with state-of-the-art methods
- Collaborate with the AllegroAssai task force and other groups at ENS de Lyon
Requirements
- Ph.D. in applied mathematics, statistics, signal processing, machine learning, or a related field
- Strong background in sparse signal representations and statistical machine learning
- Excellent programming skills and experience with deep learning frameworks
Benefits
- Subsidized meals and partial reimbursement of public transport costs
- 7 weeks of annual leave and 10 extra days off due to RTT
- Possibility of teleworking and flexible organization of working hours
Salary
€2788 gross salary per month (social security included, income tax excluded)
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