Research Scientist in Sparse Deep Networks
il y a 2 semaines
About the Position
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 conduct a vigorous research program within the scope of the project, focusing on developing resource-efficient machine learning systems with guaranteed utility, resource-efficiency, and trustworthiness.
Key Responsibilities
- Conduct research in sparse deep networks, provable algorithms for sparse deep learning, and random sketches for efficient manifold and graph-based learning.
- Develop and implement novel algorithms and techniques for resource-efficient machine learning.
- Collaborate with the AllegroAssai task force and other groups at ENS de Lyon to advance the state-of-the-art in machine learning.
- Present research findings at international conferences and workshops.
Requirements
- Ph.D. in a relevant field, such as applied mathematics, statistics, signal processing, machine learning, or computer science.
- Strong background in machine learning, sparse signal representations, and statistical signal processing.
- Excellent programming skills and experience with deep learning frameworks.
- Ability to work independently and collaboratively as part of a team.
Benefits
- Subsidized meals and partial reimbursement of public transport costs.
- 7 weeks of annual leave, 10 extra days off due to RTT, and possibility of exceptional leave.
- Teleworking (90 days/year) and flexible organization of working hours.
- Access to vocational training and social security coverage under conditions.
Salary
Gross salary: 2788 € per month (social security included, income tax excluded).
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