PhD Candidate in Frugal AI for Edge Robotics

Mitsubishi Electric Corporation; Rennes, Paris; Sur place; EUR 20 000 - 27 000; Plein temps

Résumé du poste

A leading global technology firm in Rennes is offering a PhD thesis opportunity focused on designing efficient graph-generation architectures for edge devices. The ideal candidate will have a Master's degree in AI, robotics, or systems control and a strong foundation in machine learning and Python. Responsibilities include modeling graphs for predictive control and integrating constraints into generation processes. This role aims to align with cutting-edge advancements in AI for autonomous systems and telecommunications.

Qualifications

• Master’s degree (or equivalent) in AI, robotics, systems control, computer science, or a related field.
• Ability and motivation to combine theoretical analysis with practical validation.
• Strong foundation in machine learning (ideally GNNs/generative models) and/or control/robotics.
• Proficiency in Python and AI libraries (e.g., PyTorch); good software engineering practices (Git, CI).
• Analytical mindset, autonomy, initiative.

Responsabilités

• Design, analyze, and evaluate frugal graph-generation architectures and pipelines.
• Model the evolution of graphs for predictive control and adaptation.
• Integrate physical/functional constraints into the generation process.

Connaissances

Machine learning

Python

AI libraries (e.g., PyTorch)

Analytical mindset

Autonomy

Initiative

Formation

Master's degree in AI, robotics, systems control, or computer science

Description du poste

A leading global technology firm in Rennes is offering a PhD thesis opportunity focused on designing efficient graph-generation architectures for edge devices. The ideal candidate will have a Master's degree in AI, robotics, or systems control and a strong foundation in machine learning and Python. Responsibilities include modeling graphs for predictive control and integrating constraints into generation processes. This role aims to align with cutting-edge advancements in AI for autonomous systems and telecommunications.