PhD Position F/M Pretrained models of multimodal neuroimaging for predicting individual cognition
Inria · Palaiseau
Research instituteonsitePhD$31k
At a glance
Highlights
- Build pretrained models of multimodal brain imaging to predict individual cognition.
- Release open preprocessing pipelines and benchmark for small neuroscience datasets.
- Quantify prediction uncertainty and publish at top ML and neuroimaging venues.
What they offer
- Office space at NeuroSpin
- Workstation with GPU
- Access to Inria Saclay and NeuroSpin GPU clusters and Jean Zay supercomputer
Ideal candidate
A mathematically curious ML researcher passionate about brain and cognition, eager to build open models with calibrated uncertainty and collaborate across neuroscience teams.
Requirements
- Good mastery of Python programming and at least one deep learning framework (PyTorch or JAX)
- Comfortable with mathematical formalisms of machine learning and AI: probability, statistics, variational inference and representation learning
- Able to communicate proficiently in English
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
Posted · Last seen