Postdoc: Build Open Crowd Dynamics Dataset

1000scholars; Rennes; On-site; EUR 42,000 - 54,000; Full time

Job summary

The VirtUs team at the Inria Centre in Rennes is seeking a postdoctoral researcher to contribute to the FOUL-X project. The role focuses on building an open dataset documenting diverse crowd dynamics in real-world public spaces and on developing a video-based pedestrian tracking pipeline used on field recordings.

The successful candidate will design and execute field campaigns across multiple sites in France, validate and structure trajectories, and develop metrics to compare crowd dynamics

Qualifications

• Technical skills: video-based data processing and object tracking methods.
• Programming in Python.
• Experience with real-world data acquisition and processing pipelines.

Responsibilities

• Design and execute field acquisition campaigns across multiple sites in France.
• Validate and structure the resulting trajectory dataset.
• Develop metrics to characterize and compare crowd dynamics.
• Ensure open dissemination and public availability of the FOUL-X dataset.
• Coordinate field missions including logistical, technical, and ethical aspects.

Skills

Video processing

Object tracking

Python

Data pipelines

Job description

The VirtUs team at the Inria Centre in Rennes is seeking a postdoctoral researcher to contribute to the FOUL-X project. The role focuses on building an open dataset documenting diverse crowd dynamics in real-world public spaces and on developing a video-based pedestrian tracking pipeline used on field recordings.

The successful candidate will design and execute field campaigns across multiple sites in France, validate and structure trajectories, and develop metrics to compare crowd dynamics