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Xiaolei Huang

Associate Professor

University of Missouri

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United States

Has open position

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Research Interests

Artificial Intelligence

10%

Statistics

10%

Large Language Models

10%

Information Technology

10%

Natural Language Processing

10%

Electrical Engineering

10%

Edge Computing

10%

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Xiaolei Huang

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University of Missouri

PhD openings in Trustworthy AI, Multimodal LLMs, Edge Computing, and Quantum AI at University of Missouri

Xiaolei Huang is recruiting 2–3 PhD students for Spring 2027 and Fall 2027 to join the Department of Electrical Engineering and Computer Science at the University of Missouri (Mizzou) . The research group focuses on trustworthy NLP , multimodal large language models , edge computing , and quantum AI , with applications in health informatics , precision agriculture , and other science and engineering domains. The broader lab environment also includes work in AI systems, machine learning, computer vision, systems, networking, cybersecurity, high-performance computing, cyber-physical systems, biomedical computing, and scientific computing. Eligible applicants are encouraged from computer science , computer engineering , statistics , or related fields. For PhD applicants, prior research experience in NLP or a master’s degree is preferred. The post also asks applicants to include a CV , unofficial transcript , English scores (TOEFL and GRE), and links to representative GitHub repositories . Funding information indicates that the group has received multiple NSF awards to support students for multiple years, and fellowship/scholarship support will be prioritized at the December 1 deadline. No stipend amount is specified. To apply, email the professor directly and submit an application through the University of Missouri admissions portal. Review the linked openings page for research directions and application guidance.

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