Khaza Anuarul Hoque
9 months ago
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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.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
United States
Research Interests
Cybersecurity
Control System
Computer Science
Electrical Engineering
Formal Methods
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.