Graduate Research Opportunities

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Current RA Opportunities

This is NOT a complete list of RA positions. Please reach out to our graduate advisor, Gwen Looby, with further inquiries. For positions listed below, students are encouraged to contact the faculty advisor listed for more detail information.

Faculty AdvisorExpected Start Date
Xiang-Gen XiaSpring 2024
This project is about multidimensional remaindering and its applications in analog to digital converter and radar imaging.
Qualifications: Strong math background is required. Students with math BS degree are encouraged to apply. Accepting Ph.D applicants
Vishal SaxenaSpring 2024
2 positons in mmWave Integrated Circuit Design. The project involves design of receiver building blocks at 94GHz using BiCMOS process.
Qualifications: The positions requires candidates with an aptitude for analog integrated circuit design and a strong work ethic and commitment to learn. Accepting Ph.D applicants
Vishal SaxenaSpring 2024
GaN-on-Si Power Amplifier Design
Qualifications:The position requires candidates with an aptitude for analog integrated circuit design and a strong work ethic. Prior exposure to IC or board-level RF Design through coursework or project preferred. Accepting Ph.D applicants
Vishal SaxenaSpring 2024
Electronic and Photonic IC Design for projects in recofigurable Photonics and RF Machine Learning hardware. 2-3 Positions available.
Qualifications:The position requires candidates with an aptitude for interdisciplinary analog integrated circuit design and a strong work ethic and eagerness to learn photonic IC design and Deep Learning. Accepting Ph.D applicants
Yuping ZengFall 2024 or later
Students will perform material growth, device fabrication and characterization for electron devices
Qualifications: Students who have background on device fundamentals, transistor physics are welcome to apply. Accepting Ph.D applicants
Kenneth BarnerSpring 2024
This research focuses on contemporary data compression methodologies to ascertain their applicability to in-vehicle data streams, particularly Chassis-CAN-Bus. We anticipate compressing these data streams and transmitting them to a backend system for mathematical reconstruction. The initiative's core objective is identifying and improving the most suitable compression techniques for vehicular scenarios. Emphasis will also be placed on quantifying the efficiency of these methodologies through compression ratio and computational complexity.
Qualifications: Communications, compression, coding (Matlab, Python, C/C++, etc.). Accepting Ph.D or MS applicants
Yuping ZengFall 2024 or later
Electrical and Engeneering. GaN-based Thin Flim Transistor and its RF & High Power application.
Qualifications: Fabrication skills, background theory about semiconductor physics. Accepting Ph.D applicants