Tenured or Tenure-Track Faculty

The Oden Institute for Computational Engineering and Sciences and the Dell Medical School at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position in Computational Medicine. We are particularly interested in recruiting a colleague whose research program combines mathematical, computational, and physical approaches to solving problems in medicine. Example areas include, but are not limited to, medical imaging, neurology, pediatrics, psychiatry, cardiovascular science, and oncology.

The Oden Institute is a unique interdisciplinary research and educational organization focused on transforming science, engineering, and medicine through the development and application of computation. Research programs at the Oden Institute are diverse and build upon the mathematical foundations for predictive science, data science, machine learning, and physics-based modeling using state-of-the-art computing platforms. The Oden Institute also has strong partnerships with medical institutions across Texas.

The Dell Medical School is the anchor of The University of Texas at Austin Medical Center. The medical center will feature a new, state-of-the-art hospital at the southern edge of UT Austin’s campus. When combined with the Dell Medical School’s established reputation for innovation in medical education and the world-renowned research base at UT Austin, the UT Austin Medical Center provides the setting to position Austin as a premier destination for healthcare.

This position is open to applicants at all ranks: assistant, associate, and full professor, including the possibility of appointment as a chaired professor for candidates with exceptional qualifications. The candidate will be jointly appointed in the Oden Institute and the Dell Medical School.

Responsibilities and

Qualifications:

• Candidates must have a Ph.D. degree in a quantitative science or engineering discipline, or an MD/Ph.D., with an outstanding record of research accomplishments, publications, and external funding commensurate with their academic stage.
• A track-record of innovative application of computational methods and/or AI/ML to medicine and health or medically relevant biological problems is highly desirable.
• The successful candidate must be qualified to teach graduate classes in the area of computational science, engineering and mathematics.
• More established candidates are also expected to have a successful record of mentoring leaders in computational medicine and a commitment to professional service.

The successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession.