Posted Oct. 22, 2024
Postdoctoral Fellow in Computational Mathematics
The Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin invites applications for a Postdoctoral Fellow position in Computational Mathematics under the joint supervision of Dr. Joe Kileel and Dr. Gunnar Martinsson. Candidates should have a background in at least one of the following areas: tensor methods, randomized linear algebra, streaming algorithms, nonconvex optimization, scientific computing, or applied algebraic geometry. This research position offers an opportunity to work in a world-class interdisciplinary environment, collaborating with leading researchers in computational science, engineering, and mathematics. See More Details below to apply.
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Posted Oct. 3, 2024
Tenured or Tenure-Track Faculty in Computational Mathematics
The Oden Institute for Computational Engineering and Sciences and the Department of Mathematics at The University of Texas at Austin invite applications for a tenured or tenure-track faculty position in Computational Mathematics, starting Fall 2025.
We seek candidates working on the mathematical and algorithmic foundations of Scientific Machine Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling, techniques for high-dimensional problems, inverse problems, multiscale modeling and nonlinear dynamics. This search is one of several faculty lines committed to expanding the development of AI for Science and Scientific Machine Learning at UT Austin. See More Details below to apply.
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Posted Oct. 3, 2024
Tenured or Tenure-Track Faculty in Computational Neuroscience
The Oden Institute for Computational Engineering and Sciences and the Department of Neuroscience at The University of Texas at Austin invite applications for a tenured or tenure-track faculty position in Computational Neuroscience, starting Fall 2025.
We are interested in candidates with expertise in the development and use of AI and machine learning approaches to solve questions in fundamental and translational neuroscience. Examples include analysis of large-scale, multimodal neural and behavioral recordings, biophysical modeling of molecular and cellular interactions across time scales, and use of digital twins for real time predictive analytics of behavior, circuit function, and molecular interactions. Expertise in fundamental and applied machine learning and artificial intelligence for gaining insights into neuropsychiatric disease states is of particular interest.
This search is one of several faculty lines committed to expanding the development of AI for Science and Scientific Machine Learning at UT Austin. See More Details below to apply.
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Posted Oct. 3, 2024
Tenured or Tenure-Track Faculty in Computational Biosciences/Biomedicine
The Oden Institute for Computational Engineering and Sciences and the Department of Molecular Biosciences at The University of Texas at Austin invite applications for a tenured or tenure-track faculty position in Computational Biosciences/Biomedicine, starting Fall 2025.
We are particularly interested in the application of modern AI and scientific machine learning approaches to the study of biological systems. Areas of interest include, but are not limited to, the development of predictive models of gene expression, first-principles-based biological modeling, and protein biochemistry. Candidates with expertise in developing scalable computational methods that can be applied across diverse biological contexts are encouraged to apply.
This search is one of several faculty lines committed to expanding the development of AI for Science and Scientific Machine Learning at UT Austin. See More Details below to apply.
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Posted Sept. 13, 2024
Professor in Computational Geosciences
The Department of Earth and Planetary Sciences (EPS) and the Oden Institute for Computational Engineering & Sciences at The University of Texas at Austin (UT) seek to hire a Professor (tenured) for the Jackson Endowed Chair in Computational Geosciences.
We seek an outstanding scholar who will conduct cutting-edge research to develop, advance, and apply innovative and transformational computational approaches in the geosciences. The successful candidate will be appointed jointly between EPS and the Oden Institute, with 50% of the candidate’s teaching dedicated to the EPS department’s undergraduate and graduate teaching mission, and 50% of the teaching in the Oden Institute’s graduate program in Computational Science, Engineering and Mathematics. See More Details below to apply.
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Posted Sept. 4, 2024
Tenured or Tenure-Track Faculty in Computational Quantum Materials
The Oden Institute for Computational Engineering and Sciences and the Department of Physics at The University of Texas at Austin invite applications for a tenured or tenure-track faculty position in Computational Quantum Materials, starting Fall 2025. We seek candidates in computational condensed matter and materials physics, with interests including first-principles electronic structure methods, high-performance computing for supercomputers, and physics-informed AI/SciML for quantum materials. Applicants at all ranks, including chaired professorships, are welcome.
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Posted Aug. 29, 2024
Peter O'Donnell Jr. Postdoc Fellowship
Postdoctoral researchers are vital to the Oden Institute’s world-renowned work in interdisciplinary education and research. Each year the Institute seeks outstanding researchers trained at the interfaces of computer science, mathematics, statistics, high performance computing, and applications across science, engineering, and medicine for the prestigious Peter O’Donnell, Jr., Postdoctoral Fellowship.
O’Donnell Fellows perform interdisciplinary research with exceptional faculty in areas such as computational mechanics and computational oncology, among many others. They also have the opportunity to participate in external collaborations and access world-class computational tools at the Texas Advanced Computing Center, including the fastest supercomputer on a university campus.
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