General information
Ph.D. students in core BIOE faculty labs are funded for the first 2 rotations by the department and thereafter by the student’s PI as a Research Assistant (RA), assuming satisfactory progress toward the degree.
PhD students in adjunct BIOE faculty labs are funded by the adjunct faculty member, including rotations. Continuing funding for students in good academic standing who choose adjunct faculty as the dissertation adviser is based on the current funding policy of the adjunct faculty member’s department.
Ph.D. students receive a monthly salary, tuition coverage, and insurance benefits (medical/dental/vision). All students are responsible for minimal quarterly fees.
Although you are encouraged to learn more about our faculty and are welcome to contact them directly, please note that lab space will not be guaranteed unless you receive a formal offer from the Department’s Admissions Committee.
If you are an International student, please contact the International Student Services Office.
International candidates, please visit the Graduate School’s Frequently Asked Questions page.
Ph.D. applications are due December 1, 2022, 11:59 p.m. Pacific Time, USA for Autumn 2023 admission. Late or incomplete applications will not be accepted.
Application fee waivers are handled through the Graduate School. You can read more about eligibility on their site here. To apply for the application fee waiver, please submit your application no less than 1 week prior to the deadline, as fee waivers take several days to process. Toward the end of the application, there is a drop down option (or a box you can select) where you can select an “apply for application fee waiver” option.
- Algebra, linear algebra, trigonometry
- Ordinary differential equations
- Signal analysis
- Probability theory and statistics
- Programming
- Electrical engineering and physics
- Chemistry (inorganic, organic, biochemistry)
- Material science
- Rate processes and mathematics
- Cellular biology
- Experience in science or engineering labs
- Exposure to math, science and engineering course content
- Strong personal statement
- Strong letters of recommendation