Postdoctoral Researcher in Privacy-Preserving Federated Learning

Há 7 dias

Porto, Porto, Portugal Inria, The French National Research Institute For The Digital Sciences Tempo inteiro

**Company Overview**

Inria, the French national research institute for the digital sciences, is a leading organization in the field of computer science and artificial intelligence. Our mission is to conduct cutting-edge research and develop innovative technologies that drive progress in various domains.

**Job Description**

We are seeking a highly skilled postdoctoral researcher to join our team and contribute to the development of privacy-preserving federated learning algorithms. The successful candidate will work closely with our team members and international partners on several European projects, including TRUMPET, FLUTE, and REDEEM.

**Key Responsibilities**

  • Conduct research on privacy-preserving machine learning techniques, such as differential privacy and its generalizations;
  • Develop and implement secure, privacy-preserving federated learning algorithms in settings with potentially malicious participants;
  • Collaborate with colleagues to design and develop the TRUMPET/FLUTE platform and its supporting algorithms;
  • Contribute to the research objectives of the project, including the development of a prototype that contributes to the project's open-source library;

**Required Skills and Qualifications**

  • Ph.D. in Computer Science or a related field;
  • Strong background in machine learning, security, cryptography, compilation, or a related area;
  • Excellent communication and reporting skills, with an interest in collaborative work;
  • Proficiency in English;
  • Ability to work independently and collaboratively in a team environment;

**Benefits**

  • Estimated gross monthly salary: 2,788 €;
  • Possibility of teleworking and flexible organization of working hours;
  • 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;
  • Access to vocational training;
  • Social security coverage;
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.);

**How to Apply**

Candidates should submit their application, including a CV, application letter, recommendation letters, list of publications, academic transcripts, thesis, and project report.

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