Tenure-Track Assistant Professor - Computational Medicine, Institute for Computational Engineering
Institute for Computational Engineering and Sciences - The University of Texas at Austin
Location: Austin, Texas
Open: Dec 5, 2018 • Close: Jan 15, 2019
The Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin is an interdisciplinary research and education institute focused on transforming science, engineering, and medicine through computation. ICES research is building the mathematical and statistical foundations for predictive science, data science, and machine learning; developing next-generation computational science on advanced computing platforms; and addressing grand challenges in science, engineering, and medicine through computational modeling, scalable algorithms, and high-performance computing. Full details of our Institute are available at https://www.ices.utexas.edu/.
ICES invites applications for a tenure-track faculty position at the Assistant Professor level in the area of Computational Medicine. Areas of interest include, but are not limited to, computational oncology, computational cardiology, computational neurosciences, and imaging science. Candidates should be committed to establishing an interdisciplinary research program at the intersection of target medical problems and advanced mathematical, statistical, and computational techniques. The successful candidate will be appointed in an appropriate department at UT, depending on their research and teaching interests. This includes the possibility of an appointment at the new Dell Medical School.
Tenure track positions require a Ph.D. or equivalent degree in a relevant area and a demonstrated potential for excellence in teaching and research. Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise students in research.
Interested applicants should submit the following: cover letter; description of research accomplishments including current and future research plans (limited to 4 pages); statement of teaching experience including goals and philosophy; curriculum vitae including a list of publications. Candidates are also required to request three letters of recommendation using the Interfolio website, which will email the referees directly with instructions on uploading letters of recommendation. Complete applications received by January 15, 2019 will be assured of full consideration. Reviews will continue until the position is filled.
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.