Publisher
source

Inria

Postdoc Positions in Crowd Dynamics, Deep Learning, and Computer Vision at Inria Rennes Inria in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Inria

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Keywords

Computer Science
Deep Learning
Computer Vision
Real-world Data
Robotics
Statistics
Crowd Dynamics
Physics

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About this position

Two postdoctoral positions are open in the VirtUs team at Inria Rennes within the FOUL-X project. The project focuses on crowd dynamics and addresses the lack of real-world data by combining two complementary research directions: field data acquisition and modelling from real data.

The first postdoc will work on the data side, including on-site capture, trajectory extraction, processing, and open release of crowd data. The second postdoc will focus on the modelling side, learning crowd dynamics from real observations and characterising how these dynamics differ across situations. The two researchers will work together throughout the project.

Relevant backgrounds include deep learning, computer vision, and crowd simulation. The announcement explicitly says that interest in the research question matters more than a specific background, which suggests a broad and interdisciplinary profile may be suitable.

The positions are postdoctoral, last 2 years, and are based in Rennes, France. No deadline, stipend amount, or formal application portal is provided in the post. Interested candidates are asked to contact Julien Pettré by email first at julien.pettre@inria.fr.

Keywords: crowd dynamics, deep learning, computer vision, crowd simulation, trajectory extraction, data processing, modelling, real-world data.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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