Postdoc: Efficient ML Quantization & Hardware Design

CENTRALE LYON; Écully; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading engineering school in Écully seeks a postdoctoral researcher in computer science to research heterogeneous quantization of AI models. This role requires proficiency in deep learning and frameworks like PyTorch. Candidates should have a PhD in computer science or a related field and be able to apply advanced techniques to real-world problems. The position starts in April or May 2026 for a duration of 12 months with a focus on designing custom hardware architecture for efficient execution of quantized models.

Qualifications

• PhD in Computer Science or related field, such as Computer Engineering.
• Experience in deep learning techniques and frameworks.
• Solid understanding of mathematics related to deep learning.

Responsabilités

• Investigate quantization techniques using the PyTorch framework.
• Extend analysis to small Language Models based on Transformer architectures.
• Produce requirements for custom hardware architecture for quantization models.

Connaissances

Deep learning

Python programming

Mathematics of deep learning

Software implementation of deep learning

Formation

PhD in Computer Science or related field

Outils

PyTorch

Description du poste

A leading engineering school in Écully seeks a postdoctoral researcher in computer science to research heterogeneous quantization of AI models. This role requires proficiency in deep learning and frameworks like PyTorch. Candidates should have a PhD in computer science or a related field and be able to apply advanced techniques to real-world problems. The position starts in April or May 2026 for a duration of 12 months with a focus on designing custom hardware architecture for efficient execution of quantized models.