Post-Doctoral Research Visit F/M Learning crowd dynamics from real-world data
Inria
The Inria Centre is a
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source visited 6 Oct 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Source review was due 09/10/2026. Confirm details on the official page.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link.
Vacancy terms
- Career stage
- Postdoctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
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- Original contract term
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- Schedule
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- Workplace
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- FTE
- Not stated
- Salary
- Not recorded
- Department or school
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- Posted
- Not stated
Responsibilities
- Responsibilities: The person recruited is responsible for the design, implementation and evaluation of machine learning models for crowd dynamics, working with the dataset progressively built during the project.
Qualifications and requirements
Qualifications
- This requires addressing open scientific questions on how to represent crowd data, which learning architectures are best suited to capture collective behaviours, and how to evaluate the realism of learned simulations.
- The position requires intellectual curiosity, the ability to work with limited and imperfect data, and a taste for bridging the gap between real-world observations and simulation.
Requirements
No additional structured requirements were captured.
Documents and steps
Documents
A required-document list has not been captured. Confirm the current checklist on the official application page.
Steps
Review the official vacancy
Apply through the university careers system
Sources behind this vacancy
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Post-Doctoral Research Visit F/M Learning crowd dynamics from real-world data
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Programme overview and cycle history