The REU Site program at Texas Tech University focuses on developing knowledge and workforce skills in wide and ultrawide bandgap (UWBG) semiconductor technologies. By addressing critical needs in high-speed electronics, power systems, and photonics, the initiative aligns with national priorities such as technological innovation, energy efficiency, and national security. The program provides undergraduate students with opportunities to engage in groundbreaking research and hands-on training, preparing them to contribute to innovations in communications, military systems, and industry. Participants will develop essential technical and soft skills through seminars, mentorship, and professional development activities, fostering interest in advanced research and graduate studies in electrical and computer engineering. This project creates a research environment centered on the synthesis, characterization, and application of UWBG semiconductor materials, particularly for nanoelectronics and nanophotonics. Core activities include epitaxial growth, device fabrication, and characterization of transistors, light-emitting devices, and memory components, emphasizing practical applications in high-power electronics, RF devices, and optical emitters. Ultimately, the project aims to enhance understanding of UWBG materials and accelerate their deployment in next-generation technologies, supporting the U.S. semiconductor industry and national security. Student participants will receive a stipend of $7,000, in addition to $600 support for travel, and additional housing and meal supports. The program (10 weeks) features workshops on preparing for graduate school, personalized mentoring, networking opportunities, and site visits to various locations.
Semiconductors, Microfabrication, Nanotechnology, MEMS, VLSI Processing, Transistors, Light-Emitters
To qualify for application, candidates should: Hold citizenship or permanent residency in the United States. Be currently enrolled as full-time students at an accredited college or university, with at least one semester of coursework remaining after Summer 2026, and must not have obtained a Bachelor's degree (B.A. or B.S.). Maintain a cumulative GPA of at least 3.2 on a 4.0 scale (exceptions to this requirement may be assessed individually). Be willing to commit to a full-time, in-person engagement in New York for the duration of the 10-week program. Exhibit a strong interest in tackling safety and health challenges in digital environments through the application of machine learning or deep learning techniques. Preferably have completed at least two semesters of relevant coursework.
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