University of Texas at Dallas
3 months ago
PhD Position in Device Research, Reliability Physics, and AI/ML at University of Texas at Dallas University of Texas at Dallas in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United States
University
University of Texas at Dallas

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About this position
The Dutta Lab at the University of Texas at Dallas is seeking highly motivated PhD students to join their research group in Spring or Fall 2026. The group focuses on interdisciplinary research at the intersection of device research, reliability physics, cross-stack device-to-system simulations, and AI/ML models. Research topics include material design, device fabrication, electrical testing, modeling and simulation, and the use of digital twins to accelerate the development of new materials and nanoelectronics devices beyond silicon. The lab aims to reduce the time and resources required for technology development by integrating virtual replicas with physical counterparts, leveraging probabilistic active learning and physics-informed surrogate modeling. Applicants will have the opportunity to work on cutting-edge projects involving reliability testing, circuit-to-system evaluation, and optimization of emerging nanoelectronics. The position is based in the ECE department at UT Dallas, a leading institution in electrical engineering and computer science research. Interested candidates should have a strong background in electrical engineering, computer science, materials science, or related fields. Funding details are not specified, but the position is a PhD opening. To apply, candidates should fill out the online form and attach their CV. The application window is open for Spring and Fall 2026 admissions.
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.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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