IRES with University of Brunei, KAIST (S. Korea) and National University of Singapore
Students participating in this IRES program will study autonomous mobility in complex natural environments based on flying and gliding rainforest animals. They will work with an interdisciplinary mentor network located in Korea, Singapore, and Brunei. Students will have the opportunity throughout the program to participate in professional development opportunities for IRES scholars and their mentors, led by the American Society for Engineering Education (ASEE). The 13-week summer program will start with an orientation week at the Virginia Tech campus followed by a modular sequence of setup with an engineering mentor at either KAIST or the National University of Singapore (NUS), a biology immersion in Borneo at the University of Brunei (UBD), and finally a data analysis/engineering integration module at KAIST.
- U.S. citizen or permanent resident
- Enrolled full-time at a U.S. university
- Graduate student or graduating seniors
- Open to any engineering and science major
- Not a full-time Virginia Tech employee
- 13-week summer program includes a one-week orientation in Blacksburg, VA May 22-26, followed by 12 weeks of international research from May 27 - August 20, 2023
- Students receive a $5,000 stipend paid in two installments, international travel (including roundtrip airfare, airport transportation, visa fee and international health insurance), and all lodging during the program
- Application package: CV, statement of interest (1 page), unoffical transcript, 2 letters of reference. Submit all materials to Dr. Rolf Mueller at email@example.com by Friday, February 15.
Learn more about previous IRES students' work at the lab at this link.
Follow the University of Brunei-Virginia Tech Lab on social media at:
Contact professor Rolf Mueller at firstname.lastname@example.org
Applications for summer 2023 are now open and will be accepted until Friday, February 15, 2023. Contact Dr. Mueller directly for more information.
This program is supported through a grant from the National Science Foundation; Award #1954172.