Tenure-Track Assistant Professor - Interfaces of Data Science and Computational Science, Instit...
Tenure-Track Assistant Professor - Interfaces of Data Science and Computational Science, 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 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.
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]