Research Fellow (Machine Learning Systems)

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Beschreibung

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: [link] We regret that only shortlisted candidates will be notified. Job Description The Department of Electrical and Computer Engineering at the National University of Singapore invites applications for a Research Fellow to work with Professor SHANG Li on large-model optimization and software-hardware co-design of AI computing systems. Our research asks how large models can be trained and run more efficiently, and how computing systems should be designed to support them. We study these questions together: the way a model is computed shapes its hardware requirements, while the capabilities and limits of the hardware influence how the model should be implemented. The fellow will develop methods that reduce the computation, memory, and communication required for large-model training and inference while preserving model quality. The work will also explore how algorithms, system software, and hardware architectures can be designed together to improve the performance and energy efficiency of AI computing systems. Responsibilities include: • Conduct original research in large-model optimization and software-hardware co-design of AI computing systems. • Identify bottlenecks in training and inference, develop new me

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