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Internship - 3D Infant Motion Estimation from RGB Video

Inria · Montbonnot

Research instituteonsiteinternMinimum legal gratification
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At a glance

Highlights

  • Benchmark frontier 3D body models on infant RGB videos.
  • Create large-scale synthetic infant video dataset with exact 3D ground truth.
  • Tackle infant motion analysis with real clinical impact for early diagnosis.

What they offer

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Possibility of teleworking
  • Professional equipment available
  • Social, cultural and sports events and activities

Ideal candidate

Highly motivated M2 student in computer vision or related field who enjoys hands-on research, large-scale experiments, and building solutions with real clinical impact.

Requirements

  • M2 student in Computer Science, Computer Vision, Machine Learning, Computer Graphics, Applied Mathematics or related field
  • Good programming skills in Python
  • Experience with deep learning frameworks (PyTorch)
  • Background in computer vision, 3D geometry, rendering or SMPL-type body models appreciated
remote policy
Possibility of teleworking
hiring process
Apply online on the Inria website with CV, cover letter, academic transcripts and course syllabus; include publications if applicable and names of 1-2 recommenders

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 →
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