AI for Materials Faculty Cluster hires - Fall 2025
AI for Materials Faculty Cluster hires - Fall 2025
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Cockrell School of Engineering and College of Natural Sciences at The University of Texas at Austin seekapplicants for tenured facultypositionsat the rank of Associate Professor or Professor as part of its AI for Materials cluster initiative led by the Texas Materials Institute (TMI) and its materials science and engineering graduate program with appointments to start in the202526 academic year. The faculty positions will be based in a home department and it is broadly expected that the positions will be in the Walker Department of Mechanical Engineering the McKetta Department of Chemical Engineering and the Department of Chemistry. However other home departments might also be appropriate. Collaborative research opportunities will include the Energy Institute Oden Institute Texas Advanced Computing Center Texas Institute of Electronics the Microelectronics Research Center Texas Quantum Institute and with others who will arrive as part of the broader AIinitiatives
The vision of the cluster initiative is to strengthen expertise in Foundational AI to accelerate materials research at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling of materials 2. Computer vision for advanced imaging in materials characterization 3. Large language models for materials science 4. Optimization in materials synthesis systems and autonomous high throughput discovery 5. Deep learning in materials big data. Both experimental and computational research activities will be considered across a board range of existing and emerging topics in materials science. The research activity will also contribute to new educational material including new courses that will span across the materials science and engineering program and the home department as well as teaching new undergraduate data analytics/AI courses at UT Austin.
We arecommitted to strengthening our leadership inresearchdevelopmentand implementation of artificial intelligence (AI)capabilities to accelerate Materials research utilizing strengths in the core facilities of the Texas Materials Institute (TMI) and the Texas Advanced Computing Center (TACC). Candidates will be active members of the materials science and engineering graduate program in TMI and their home department.
Candidates must have completed a Ph.D. degree prior to their start date. Candidatesin one or more of the following areas will be preferred:information systemscomputer science(in particularmachine learning and AI)statisticsmaterials science and engineering chemistry mechanical engineering chemical engineering electrical engineering or a similar related area.Successful candidates will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds with differing learning approaches and abilities develop an externally sponsored research program mentor graduate students collaborate with other faculty and be involved in service to the university and the profession.Preferredcandidates will have specificinterest incrossdisciplinaryresearchin accelerating materials science and engineering using are encouraged to specify a home department preference when responding to the link below and to check the relevant department specific faculty postings
Employment Type
Full Time
