Post-Doctoral Research Visit F/M Postdoc position F/M Foundations of resource-efficient large-scale learning
Inria · Lyon
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Research tradeoffs between performance and computational footprint.
- Explore expressivity and robustness of sparse deep networks.
- Develop random sketches for efficient manifold and graph learning.
What they offer
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks annual leave + 10 RTT days
- Travel, computing and experimental resources
- Access to vocational training
Ideal candidate
Independent and collaborative researcher driven by solid mathematical foundations for trustworthy machine learning and excited to work across disciplines.
Requirements
- Ph.D. required
- Background in applied mathematics and statistics
- Interest in statistical signal processing with good programming skills, or background in signal processing / computer science
- Previous experience in sparse signal representations or statistical machine learning preferred
- remote policy
- Teleworking possible up to 90 days per year with flexible hours
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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