Khaza Anuarul Hoque
4 days ago
PhD Position in Trustworthy AI/GenAI Hardware at University of Missouri University of Missouri in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Successful candidates will receive financial support as Research/Teaching Assistants (RAs/TAs) and be awarded a full tuition waiver with health insurance benefits. Exact admission requirements are available on the university website.
Deadline
Dec 28, 2026
Country
United States
University
University of Missouri

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About this position
The Dependable Cyber-Physical Systems (DCPS) Laboratory at the University of Missouri is offering a fully funded Ph.D. position in Trustworthy AI/GenAI hardware, starting Fall 2026 or Spring 2027. The position is supervised by Professor Khaza Anuarul Hoque and focuses on research related to energy-efficient and robust AI hardware, including AI/GenAI, hardware design, and AI accelerator architectures. The lab is recognized for its expertise in edge hardware, AR/VR, robotics, and formal methods, with frequent publications in top-tier conferences and journals.
Applicants should have a strong academic background in computer science, engineering, or electrical engineering, with mandatory in-depth knowledge of AI/GenAI and hardware design. Experience with formal verification, automata theory, and model checking is a plus. Candidates with research experience and publications in reputable venues are highly encouraged to apply. The position offers financial support as a Research or Teaching Assistant, including a full tuition waiver and health insurance benefits.
The University of Missouri College of Engineering is renowned for its excellence and offers a vibrant research environment. Interested candidates should email Prof. Hoque with a description of their research interests, how they meet the requirements, and a CV. The application deadline is December 28, 2026. For more information, visit the DCPS Lab website or contact Prof. Hoque directly.
Funding details
Successful candidates will receive financial support as Research/Teaching Assistants (RAs/TAs) and be awarded a full tuition waiver with health insurance benefits. Exact admission requirements are available on the university website.
What's required
Applicants must have good academic results in B.Sc. or M.Sc. with a major in computer science, engineering, or electrical engineering. In-depth knowledge of AI/GenAI, hardware design, and AI accelerator architectures is mandatory. Knowledge of formal verification or automata theory (especially model checking, SAT/SMT solving) is a plus but not required. Candidates with research experience and publications in reputable venues will be prioritized. The ideal candidate is passionate about research, self-motivated, hardworking, and has the right attitude for producing top-quality research.
How to apply
Send an email to Prof. Hoque ([email protected]) with the subject line 'About the Ph.D. Position in Trustworthy GenAI Hardware.' Include a description of your interest in the research topic, how you meet the requirements, and your CV with a list of publications (if any).
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