[Job-offers-cs] Tenured or Tenure-Track Faculty Position, Fall 2026 – Scientific Machine Learning and AI for Science, UT Austin

[Pekka Orponen]

The Oden Institute for Computational Engineering and Sciences and the 
Department of Statistics and Data Science at The University of Texas at 
Austin have an opening for a tenured or tenure-track faculty position 
beginning Fall 2026 in the area of Scientific Machine Learning and AI 
for Science. We are seeking candidates who address challenging 
scientific and technological problems through advances in statistical 
and mathematical AI and ML theory and algorithms. Examples of topics of 
interest include: statistically-principled methods for uncertainty 
quantification; operator learning and learned surrogates with clear 
statistical validation; Bayesian inverse problems and data assimilation 
via measure transport and amortized inference; robustness and 
distribution shift in scientific ML; causal inference for mechanistic 
systems; and sequential experimental design and control (including 
reinforcement learning) under uncertainty. These topics are meant as 
illustrations, and not as an exhaustive list. This search is being 
conducted jointly by the Oden Institute and the Department of Statistics 
and Data Science as part of a campus-wide commitment to expanding the 
development of AI for Science and Scientific Machine Learning at UT 
Austin. The successful candidate will have half of their teaching duties 
in the Oden Institute's Computational Science, Engineering and 
Mathematics (CSEM) graduate program and half in the Department of 
Statistics and Data Science. This position is open to applicants at all 
ranks, with a preference for hiring at the assistant or associate 
professor level.
To submit an application, see apply.interfolio.com/174449. 
<https://apply.interfolio.com/174449.> Review of applications will begin 
November 15, 2025, and will continue until an appropriate candidate is 
identified. We anticipate virtual interviews in December and in-person 
campus interviews in early 2026. Please address questions to Prof. Omar 
Ghattas and Prof. Alessandro Rinaldo, SciML/AI Faculty Search Committee 
Co-Chairs (omar at oden.utexas.edu, alessandro.rinaldo at austin.utexas.edu). 
For application questions, contact Ruth Park (ruth.park at oden.utexas.edu).


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Omar Ghattas
Oden Institute for Computational Engineering & Sciences
The University of Texas at Austin
omar at oden.utexas.edu
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