Engineer F/M - Scientific programmer in federate learning with applications in neuroscience
Inria · Villeneuve d'Ascq
Research instituteonsite
At a glance
Highlights
- Apply federated learning to fMRI and EEG time-series for neuroscience.
- Help build closed-loop neurotechnology for drug-resistant hallucinations.
- Extend decentralized learning to neuromorphic computing with privacy focus.
What they offer
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks annual leave plus 10 RTT days plus exceptional leave
- Telework possible with flexible working hours
- Professional equipment including videoconferencing and computer loans
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
Ideal candidate
A collaborative engineer excited by distributed learning and neuroscience who enjoys building scalable research software and learning in an interdisciplinary academic team.
Requirements
- Strong understanding of distributed algorithms
- Software design and development skills including Python and Rust
- Mastery of English
- Ability to work smoothly in a team in a research environment
- Effective communication and collaboration
- Eager to learn in an academic setting
- remote policy
- Telework possible with flexible working 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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