Tenure-Track Assistant Professor - Computational Medicine, Institute for Computational Engineer...
Tenure-Track Assistant Professor - Computational Medicine, Institute for Computational Engineering & Sciences (ICES)
Dec 5, 2018
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. Only the required materials will be reviewed. Evaluation of applications will begin on January 16, 2019, and will continue until the position is filled. Therefore, applications completed by January 15, 2019 will be assured full consideration. For questions, please email [email protected]