Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
North Dakota State University
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7 months ago
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MS and PhD Positions in Device & Circuit Design, Computer Architecture, Cryogenic Computing, and Hardware for Machine Learning & Genomics at North Dakota State University North Dakota State University in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 1, 2026
Country
United States
University
North Dakota State University

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About this position
North Dakota State University (NDSU) is offering exciting MS and PhD opportunities in Dr. Sumitha George’s research group. The group focuses on interdisciplinary, technology-driven research in device and circuit design, computer architecture, cryogenic computing, and optimized hardware for machine learning and genomics applications. This is an excellent opportunity for students interested in cutting-edge hardware and computational research, with a strong emphasis on both theoretical and applied aspects.
Applicants will join a vibrant academic environment and contribute to innovative projects at the intersection of electrical engineering and computer science. The research group is looking for motivated students who are passionate about advancing hardware technologies for emerging applications in machine learning and genomics. The target intake is for the 2026 academic year, and candidates should meet NDSU’s graduate admission requirements for MS or PhD programs.
To apply, candidates should email Dr. Sumitha George at [email protected] with the subject line 'PhD/MS admission 2026'. The post does not specify funding details, so applicants are encouraged to inquire directly about available financial support, such as assistantships or scholarships, during the application process.
Key academic keywords include device design, circuit design, computer architecture, cryogenic computing, machine learning hardware, and genomics hardware. This opportunity is ideal for students seeking to develop expertise in advanced hardware systems and contribute to impactful research in a collaborative university setting.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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