Edge AI in Real-Time: Deployment & Scheduling

HiPEAC; Toulouse; On-site; EUR 30,000 - 36,000; Full time

Job summary

The CNRS invites applications for a 36-month PhD focused on deploying AI workloads in real-time systems, hosted by LAAS-CNRS in Toulouse, with collaboration across leading laboratories in France and Europe. The position targets candidates with a graduate degree in Computer Science or Mathematics and is available immediately.

The role is full-time and based in Toulouse, FR, with an emphasis on edge AI, real-time scheduling, and runtime-adaptive neural networks within a multi-institutional

Qualifications

• Candidates must hold a graduate degree (or equivalent) in Computer Science or Mathematics.

Responsibilities

• Design and conduct a research project on deploying AI workloads in real-time systems.
• Develop real-time scheduling frameworks for edge AI applications.
• Collaborate with LAAS-CNRS, LIRIS-CNRS, Inria Rennes and TUM to advance research objectives.
• Provide runtime-adaptive neural network approaches to meet timing and performance constraints.

Education

Graduate degree in Computer Science or Mathematics

Job description

The CNRS invites applications for a 36-month PhD focused on deploying AI workloads in real-time systems, hosted by LAAS-CNRS in Toulouse, with collaboration across leading laboratories in France and Europe. The position targets candidates with a graduate degree in Computer Science or Mathematics and is available immediately.

The role is full-time and based in Toulouse, FR, with an emphasis on edge AI, real-time scheduling, and runtime-adaptive neural networks within a multi-institutional