Post-Doctoral Research Visit F/M Learning crowd dynamics from real-world data
Inria · Rennes
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Develop data-driven crowd simulators that adapt to real environments.
- Model crowd dynamics from field data across multiple sites.
- Publish results at CVPR, SIGGRAPH and PED 2027 venues.
Ideal candidate
A curious postdoctoral researcher passionate about human collective behavior and data-driven modelling, eager to bridge field observations with simulation and share findings with the scientific community.
Requirements
- Deep learning, particularly generative models and/or imitation learning
- Programming in Python (PyTorch or equivalent)
- Experience in trajectory prediction, motion modelling, or human behaviour analysis
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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