Scientific Programmer in Federated Learning for Oncology Applications

il y a 4 semaines


Villeneuved'Ascq, Hauts-de-France INRIA Temps plein

Job Context and Requirements

This role will be supported by the project and will collaborate with European project partners. The successful candidate will contribute to the development of algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.

Key Responsibilities

  • Design and develop algorithms for reasoning about data privacy
  • Automatically analyze and transform algorithms and queries provided as input
  • Design and prototype key algorithms
  • Create appropriate documentation
  • Integrate such implementations in the FLUTE platform
  • Test algorithms and run experiments

Technical Skills and Requirements

  • Strong understanding of distributed algorithms
  • Software design and development skills (relevant code may include Python and/or C/C++)
  • Understanding of process models and (probabilistic) reasoning techniques
  • Understanding of programming language internals (e.g., abstract syntax trees)

Language and Collaboration Skills

  • Mastering English is essential
  • Smoothly working in a team in a research environment
  • Effective communication and collaboration

Benefits

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Remuneration

According to the profile



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