PhD Position in Incremental Deep Learning for Embedded Systems
il y a 4 semaines
Job Description
We are seeking a highly motivated PhD student to join our team at INRIA and work on a project focused on designing adaptive embedded hardware architectures for AI. The PhD will investigate incremental learning of foundation models on embedded systems, with a focus on resource efficiency, privacy, and low energy consumption.
Key Responsibilities
- Conduct comprehensive studies and experiments to investigate the feasibility of incremental learning of foundation models on embedded systems.
- Explore state-of-the-art methods for incremental learning and adapt them to suit the constraints and requirements of embedded systems.
- Develop and propose new methodologies specifically designed to enable foundation models to learn incrementally when deployed on embedded systems.
Requirements
- Master degree in computer science, AI, or a closely related discipline.
- Strong background in computer science and mathematics.
- Scientific attitude and ability to reason through problems.
- Excellent programming skills.
- Ability to communicate written and orally in English in a clear and precise manner.
- Pro-active and independent attitude as well as ability to function well in a team environment.
What We Offer
- Subsidized meals.
- Partial reimbursement of public transport cost.
- Monthly gross salary amounting to 2100 euros.
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