About the Lab and Position:
Our research interests include algorithm-system co-design of machine learning/artificial intelligence; computer architecture and heterogeneous computing (FPGAs/GPUs); privacy-preserving machine learning; Large language models-aided computer system development. You will be leading the effort on algorithm and hardware co-design of machine learning and using LLM-based agents to perform complex tasks. Examples: chiplet design, HPC code generation, edge AI.

Duties/Responsibilities:
10% - Manage the ML system infrastructure essential to our research.
60% - Develop algorithm and hardware co-design of machine learning and large language models-aided computer system development.
30% - Supervise PhD students: providing mentorship and guidance that will be instrumental in developing their research skills and contributions.

Required Qualifications: 
PhD. in Computer Engineering (primary), Computer Science, or a field related to computing is required.
Applicants must have a good background in machine learning systems in a broad sense. They should have experience in efficient machine learning, algorithm and hardware co-design of machine learning in particular.

Preferred Qualifications:
Experience in developing algorithm and hardware co-design of machine learning and Large language models-aided computer system development.

About University of Minnesota Twin Cities

The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.

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