Post-Doctoral Research Visit F/M Universality for Deriving Low-Complexity INR for Visual Compression Models
Inria · Rennes
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Investigate universality across INR functions to cut image encoding time.
- Develop low-complexity INR models that retain implicit representation benefits.
- Join Nisk.AI joint research between Inria and InterDigital on frugal compression.
What they offer
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks of annual leave plus 10 RTT days off
- Professional equipment available
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
Ideal candidate
A curious postdoctoral researcher passionate about neural compression and frugal AI, eager to bridge theory and practice in an academic-industrial collaboration.
- remote policy
- Possibility of teleworking after 6 months of employment
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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