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Research Internship in optimization, machine learning, and inverse problems

Inria · Lyon

Research instituteonsiteintern$10k
Apply on the lab’s site ↗

At a glance

Highlights

  • Develop multilevel plug-and-play algorithms using flow-matching denoisers.
  • Run numerical experiments on large-scale image restoration tasks.
  • Study convergence properties alongside optimization and inverse problems experts.

Ideal candidate

Autonomous and analytically minded applied-math student curious about optimization, machine learning and image restoration, eager to prototype algorithms and explore theory with a collaborative team.

Requirements

  • Strong background in applied mathematics, optimization and machine learning
  • Good Python programming skills with PyTorch
  • Knowledge of inverse problems is appreciated
  • Autonomy, scientific curiosity, teamwork and analytical thinking

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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