PhD Researcher in Probabilistic Embedded Systems

il y a 8 heures


Paris, Île-de-France INRIA Temps plein
Research Position in Probabilistic Embedded Systems

We are seeking a highly motivated PhD researcher to join our team at INRIA, working on the development of probabilistic embedded systems for efficient execution of artificial intelligence algorithms.

Context and Benefits

The PhD thesis is funded by the Paris region program and hosted by the Kopernic team in Paris. The position offers a unique opportunity to work on cutting-edge research in probabilistic embedded systems, with a focus on efficient execution of AI algorithms.

Research Objectives
  • Develop novel scheduling algorithms for probabilistic embedded systems on hybrid architectures.
  • Investigate the energy performance of these algorithms compared to existing non-probabilistic approaches.
  • Propose efficient methods for worst-case execution time (WCET) estimation and response time calculation.
Required Skills

The ideal candidate should have a strong background in real-time systems, embedded systems, and programming languages such as Python and C/C++. Familiarity with probabilistic modeling and statistical approaches is a plus.

Benefits
  • Subsidized meals and partial reimbursement of public transport costs.
  • 7 weeks of annual leave and 10 extra days off due to RTT (statutory reduction in working hours).
  • Possibility of teleworking and flexible organization of working hours.
  • Access to vocational training and social security coverage.
How to Apply

Interested candidates should submit their application, including a CV and a cover letter, to the INRIA website.



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