Post-Doctoral Research Visit F/M Learning imaging systems and solving inverse problems from unpaired data
Inria · Montbonnot
Research instituteonsitepostdoc$39k
At a glance
Highlights
- Build self-calibrating imaging systems learning operators from unpaired data.
- Solve inverse problems with diffusion priors and plug-and-play solvers.
- Apply methods to real photography, microscopy and medical imaging.
What they offer
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks annual leave plus 10 RTT days
- Flexible working hours
- Social, cultural and sports events and activities
- Access to vocational training
Ideal candidate
A PhD researcher passionate about machine learning and imaging, motivated by principled methods, top-tier publications, and collaborative research with PhDs in an active vision team.
Requirements
- PhD in machine learning, computer vision, signal or image processing, applied mathematics or related field
- Strong publication record
- Good background in mathematics including optimization, probability and statistics
- Strong programming skills in Python and PyTorch
- Prior experience with inverse problems, generative models or optimal transport preferred
- remote policy
- Teleworking possible up to 90 days per year
- hiring process
- Apply online via Inria website by 2026-12-05
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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