The overarching theme of this program is to train comprehensive imaging scientists in the skills necessary to identify clinically relevant problems. Topics include: developing instrumentation, sensors, and contrast agents to form images appropriate for the problem; and analyzing the resulting imaging data using signal processing, mathematical modeling, visualizations, and informatics techniques to improve the prevention, detection, diagnosis, and treatment of human diseases. View this flyer for more information. If If you are interested in applying to this program, contact the BME the BME Graduate Coordinator.
The Fall 2022 Application will be made available to admitted students in spring 2022.
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Portfolio in Imaging Science
The basic requirement to complete this portfolio program is 12 hours of coursework (4 courses), which provide the requisite core knowledge for an imaging scientist. Learn more about portfolio programs at The University of Texas at Austin Graduate School.
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Some, but not necessarily all, of these courses may count toward your doctoral degree requirements as well. Additionally, optional coursework, seminars, and externship opportunities are available to portfolio students.
Students not pursuing a BME or ECE graduate degree who are interested in completing the portfolio should apply by (a) submitting a brief statement of interest and their CV to the BME Graduate Coordinator and mia.markey@utexas.edu, and (b) by making an advising appointment with Dr. Markey.
Students who have completed all of the courses required for the portfolio must submit a signed Portfolio Completion Form to the Graduate School. Access the form in DocuSign here.
Fellowships
The Department of Biomedical Engineering was awarded a Ruth L. Kirschstein National Research Service Award (NRSA)training grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), an Institute within the National Institutes of Health (NIH) (T32 EB007507). This grant includes competitive fellowships to support selected biomedical engineering doctoral students in the Imaging Science and Informatics Portfolio Program. The prestigious one-year fellowship includes a stipend, funds for educational and research supplies, and two semesters of tuition.
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