Internship: Towards expressive and tractable surrogate models for large scale inverse problems M/F
Inria · Montbonnot
Research instituteonsiteInternship$10k
At a glance
Highlights
- Extend GLLiM surrogate models for large-scale Bayesian inverse problems.
- Explore constrained estimation, incremental learning and flexible noise models.
- Validate methods for challenging high-dimensional remote sensing problems.
Ideal candidate
A curious master's student in statistics, machine learning or applied math who loves model building and rigorous experimentation and wants to apply it to large-scale remote sensing inverse problems.
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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