Post-Doctoral Research Visit F/M Post-doc Position on Fairness and Privacy in Trustworthy machine Learning (F/M)
Inria · Villeneuve d'Ascq
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Advance trustworthy ML focused on fairness, privacy and decentralized learning.
- Maintain and expand the FairGrad library for fair machine learning.
- Build ML pipelines learning from locally private data at scale.
Ideal candidate
A mathematically grounded ML researcher who loves building and benchmarking open tools and cares deeply about ethically acceptable, fair and privacy-preserving AI for real-world impact.
Requirements
- Good command of English
- Good command of Python
- Strong background in implementation and experimentation
- Strong background in mathematics
- Good knowledge of machine learning, statistics and algorithms
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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