Moncrief Endowed Faculty in Computational Medicine

https://faculty.utexas.edu/career/53750

Description

The Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin is seeking a distinguished investigator to fill a Moncrief Endowed Chair (https://www.oden.utexas.edu/programs/endowed-positions/) at the level of Full Professor in the area of 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, molecular biophysics, cardiovascular science, neuroscience, 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 (in particular) physics-based modeling using state-of-the-art computing platforms. (Full details are available at https://www.oden.utexas.edu/.)

Qualifications

Applicants from quantitative science or engineering disciplines with an outstanding record of research accomplishments, publications, and external funding are encouraged to apply. Candidates are also expected to have a successful record of mentoring leaders in computational medicine, strong interest in undergraduate and graduate teaching in computational science and engineering, as well as a commitment to professional service.  Additionally, we seek applicants who have a desire to build collaborations with the newly established Dell Medical School.  The Oden Institute also has strong partnerships with medical institutions across Texas, including MD Anderson Cancer Center, UT Southwestern Medical Center, the Texas Heart Institute, and Health Science Centers at Houston and San Antonio.

Application Instructions

Interested persons should include a cover letter, a detailed curriculum vitae including academic and professional experience and peer reviewed publications (please include PDF copies of your three most significant, peer-reviewed, published manuscripts), a statement of research, a statement of teaching philosophy, a statement summarizing past contributions to and future plans for promoting diversity; and the names and e-mail addresses of at least five references. Complete applications received by December 1, 2019 will be assured full consideration. Reviews will continue until the position is filled.

For questions, please refer to the FAQs at our website:  https://www.oden.utexas.edu/programs/endowed-positions/, or you may direct inquiries to Ms. Lorraine Sanchez at lorraine@oden.utexas.edu.

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. Background check will be conducted on applicant selected.

 

Tenure-Track Assistant Professor – Interfaces of Data Science and Computational Science

https://faculty.utexas.edu/career/53997

Description

The Oden Institute for Computational Engineering and Sciences at the University of Texas invites applicants for a tenure-track faculty position at the interfaces of Data Science and Computational Science. Areas of interest include, but are not limited to, computational statistics, machine learning, graph theory, randomized linear algebra, and tensor methods. Candidates should have a strong connection to challenging applications in science, engineering, and/or medicine. Candidates should be committed to establishing an interdisciplinary research program at the intersection of advanced mathematical, statistical, and computational techniques, high-performance computing, and target applications.

The Oden Institute is an interdisciplinary research and education institute working to transform science, engineering, and medicine through computation. Oden Institute 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 the Oden Institute are available at https://www.oden.utexas.edu/.

Qualifications

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.

Application Instructions

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 November 30, 2019, and will continue until the position is filled. Therefore,  applications completed by November 30, 2019 will be assured full consideration. For questions, please email recruiting@oden.utexas.edu.

 

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. Background check will be conducted on applicant selected.