Scientific Programmer in Federated Learning for Oncology Applications

il y a 2 semaines


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

Job Context and Requirements

This position will be supported by the project and will collaborate with several European project partners. The recruited engineer will contribute to one or more of the TRUMPET, FLUTE, and REDEEM projects, which aim at researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.

Key Responsibilities

  • Developing algorithms, e.g., cryptographic or statistical modules, modules supporting the knowledge discovery pipeline and its automation
  • Testing algorithms through systematic benchmarking / experimentation
  • Applying algorithms in medical applications, e.g., TRUMPET's lung cancer or head&neck cancer or FLUTE's prostate cancer use cases

Technical Skills and Requirements

  • A 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)

Working Conditions

  • 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 (sick children, moving home, etc.)
  • 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

Salary

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