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Research Engineer F/M — Crowd data acquisition, processing and modelling

Inria · Rennes

Research instituteonsite$36k
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At a glance

Highlights

  • Support FOUL-X project building next-gen crowd simulators for public spaces.
  • Deploy video acquisition systems for real-world crowd observation campaigns.
  • Structure and validate large-scale crowd trajectory dataset for ML pipelines.

Ideal candidate

A hands-on research software engineer who loves field experiments and real-world data, comfortable supporting scientists and turning messy crowd observations into clean, usable datasets.

Requirements

  • Strong programming skills, particularly in Python
  • Experience in scientific computing, data processing, computer vision, machine learning, simulation or related field
  • Ability to manipulate and process large datasets
  • Experience developing robust research or scientific software

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
More about Inria →
Apply on the lab’s site ↗

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