The Dependable Cyber-Physical Systems (DCPS) Laboratory in the Department of Electrical Engineering and Computer Science (EECS) at the University of Missouri (Mizzou) is inviting applications for one fully funded PhD position beginning in Spring 2027. The selected student will work under the supervision of Prof. Khaza Anuarul Hoque on cutting-edge research focused on Energy-Efficient and Formally Verified AI/Generative AI Hardware. Successful applicants will receive Research or Teaching Assistantship (RA/TA) funding, a full tuition waiver, and health insurance benefits.

Position Overview

Research Areas

The PhD project focuses on designing next-generation trustworthy AI hardware, including:

• Trustworthy AI and Generative AI Hardware
• Energy-Efficient AI Systems
• Formal Verification
• Hardware Design Automation
• AI Accelerator Architectures
• Edge AI Computing
• Approximate Computing
• Secure and Reliable AI Systems
• Safe AI Hardware
• Neurosymbolic AI
• AR/VR Hardware Applications
• Robotics

Students will contribute to innovative research addressing reliability, security, and efficiency challenges in modern AI hardware.

About the DCPS Laboratory

The DCPS Laboratory is internationally recognized for research in:

• AI/GenAI hardware
• Safe and secure AI
• Formal methods
• Edge computing
• Hardware design automation
• Cyber-physical systems
• Robotics
• Energy-efficient AI

The lab regularly publishes in top-tier IEEE and ACM conferences and journals. Its researchers have received numerous national and international awards, with research supported by organizations such as NSF, NVIDIA, and Dov.

About the University of Missouri

Established in 1849, the University of Missouri is one of the leading public research universities in the United States.

Highlights include:

• More than 130 engineering faculty
• Over 3,300 undergraduate engineering students
• More than 600 graduate students
• Home to one of the most powerful university research reactors in the United States
• Strong emphasis on interdisciplinary engineering research

Funding

• Successful candidates will receive:
• Research Assistantship (RA) or Teaching Assistantship (TA)
• Full Tuition Waiver
• Health Insurance

Eligibility

Applicants should possess:

• Strong academic record
• Bachelor’s or Master’s degree in:
  
  • Computer Science
  • Computer Engineering
  • Electrical Engineering
  • Related discipline

Candidates should demonstrate strong knowledge of:

• AI / Generative AI
• Hardware Design
• AI Accelerator Architectures

Preferred Qualifications

Applicants with experience in the following areas are encouraged to apply:

• Formal Verification
• Automata Theory
• Neurosymbolic AI
• Hardware Design
• AI Systems
• Publications in reputable conferences or journals

The lab is seeking highly motivated, self-driven, and research-oriented students committed to producing high-quality scientific research.

Application Process

Interested applicants should email Prof. Khaza Anuarul Hoque with:

• Curriculum Vitae (CV)
• Brief description explaining:
  
  • Your research interests
  • Why you are interested in this PhD project
  • How your background matches the advertised position
• List of publications (if available)

Email: [email protected]

Recommended Background

This opportunity is particularly suitable for students interested in:

• Artificial Intelligence
• Generative AI
• Computer Architecture
• Hardware Security
• Digital Design
• FPGA
• VLSI
• Computer Engineering
• Electrical Engineering
• Embedded Systems
• Edge AI
• Cyber-Physical Systems

Why Apply?

This position offers the opportunity to work on cutting-edge AI hardware research in a well-funded laboratory with strong industry and federal research support. Students will gain experience in designing secure, efficient, and formally verified AI hardware while collaborating on internationally recognized research projects.

Application Deadline

No application deadline has been specified.

Applications will be reviewed on a rolling basis until the position is filled. Early applications are strongly encouraged.

Final Thoughts

If your goal is to pursue a career in AI hardware, computer architecture, or trustworthy machine learning systems, this fully funded PhD position at the University of Missouri provides an excellent opportunity to work on impactful research with comprehensive financial support.

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