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About this position
The Operations Research Team at Huawei France Research Center is seeking a highly motivated postdoctoral researcher for a 12-month position (with a possible 6-month extension) in the context of the ANR project Net4AI. The project aims to optimize collective communication within datacenters during large language model (LLM) training and inference.
Research Focus
The primary objective of this position is to develop optimization and learning-based approaches to enhance communication efficiency and reduce training time in datacenters. Key research areas include:
Offline Optimization: Solving bi-level optimization problems for GPU assignment, job scheduling, and routing.
Online Decision-Making: Investigating reinforcement learning methods to adaptively buffer and balance tasks based on real-time network conditions.
Keywords
Optimization
Reinforcement Learning
Datacenter Networking
Collective Communication
LLM Training
Position Details
Duration: 12 months (with a possible 6-month extension)
Location: Boulogne-Billancourt, Paris area, France
Start Date: Flexible, but ideally as soon as possible
Responsibilities
Conduct research on optimization and reinforcement learning techniques for improving datacenter communication.
Collaborate with a multidisciplinary team to develop and implement novel algorithms.
Publish findings in top-tier conferences and journals.
Present research results at international conferences and workshops.
Benefits
Opportunity to work on cutting-edge research in AI infrastructure.
Collaboration with a dynamic and multidisciplinary team.
Access to state-of-the-art research facilities and computational resources.
For more information, please contact the hiring manager at youcef.magnouche@huawei.com.
Requirements
Strong background in optimization, machine learning, and datacenter networking.
Experience with reinforcement learning and large-scale distributed systems.
Excellent programming skills in Python, C++, or related languages.
Strong publication record in relevant fields.
How to apply
Detailed CV
Cover letter
University transcripts
Contact information for references
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