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Researcher in Incremental Machine Learning for Edge AI

Il y a 2 mois


Rennes, Bretagne, France INRIA Temps plein
Job Description

Context and Objectives

This PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture design.

Key Challenges

  • Designing resource-efficient incremental learning algorithms that can run on embedded systems with limited computational power, memory, and energy efficiency.
  • Developing algorithms that can handle real-time processing with low latency and deterministic behavior.
  • Ensuring efficient updates while handling data locally to enhance privacy and security.

Research Objectives

  • To investigate incremental learning of foundation models on embedded systems.
  • To explore how state-of-the-art methods can be applied to these models, assessing the extent to which these existing techniques provide effective solutions to the problem of incremental learning.
  • To develop and propose new methodologies specifically designed to enable foundation models to learn incrementally when deployed on embedded systems, ensuring that these models maintain performance and adaptability over time.

Requirements

  • A master's degree in computer science, AI, or a closely related discipline.
  • A strong background in computer science and mathematics.
  • A scientific attitude and the ability to reason through problems.
  • Excellent programming skills.
  • The ability to communicate written and orally in English in a clear and precise manner.
  • A pro-active and independent attitude as well as the ability to function well in a team environment.

Benefits

  • Subsidized meals.
  • Partial reimbursement of public transport cost.

Salary

A monthly gross salary amounting to 2100 euros.