Job Title:
Tenure-Track Assistant Professor - Interfaces of Data Science and Computational Science

Location of Position:
Austin, TX

Employing Institution:
ICES/University of Texas at Austin

Description of Position::
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 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.

Minimum 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 Procedure:
Interested applicants should follow the instructions posted on the University of Texas at Austin job website:

Contact Information:
Lorraine Sanchez


Length of Posting:
Complete applications received by January 15, 2019 will be assured of full consideration. Reviews will continue until the position is filled.

Closing Date: