Publisher
source

North Dakota State University

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

Available

Deadline

Aug 1, 2026

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Country

United States

University

North Dakota State University

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Keywords

Computer Science
Electrical Engineering
Circuit Design
Computer Architecture
Design

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

Available

What's required

Applicants should be motivated and interested in device and circuit design, computer architecture, cryogenic computing, and hardware optimization for machine learning and genomics. Candidates must meet North Dakota State University’s MS or PhD admission requirements. No specific GPA, language, or skill requirements are mentioned in the post.

How to apply

Email [email protected] with the subject line 'PhD/MS admission 2026' to apply or refer candidates. Follow North Dakota State University’s graduate application procedures.

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