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faculty position beginning Fall 2026 in the area of Scientific Machine Learning and AI for Science. We seek candidates working on the mathematical and computational foundations of Scientific Machine
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Job Posting Title: R&D Machine Learning Engineer (Engineering Scientist Associate) ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled
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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
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, and is known for its leadership in high performance computing, visualization, big data analytics, and machine learning. UT Austin hosts a broad range of Centers and interdisciplinary initiative
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considered an advantage. Applicants will need expertise and desire to teach in various areas of Electrical and Computer Engineering. Current teaching opportunities specifically exist in programming, software
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with machine learning and AI. A demonstrated interest in applied work in any domain, while not required, is desirable. Statistics faculty in McCombs are an integral component of the research and teaching
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) or artificial intelligence and its applications (especially foundational machine learning or machine learning applications). All positions are subject to the availability of funding. The department is ranked
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candidateswho work in scientific machine learning, themathematical and statistical foundations of machine learning, high-dimensional statistical theory, or AI for science, because multiple positions in
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and proposals. Other related functions as assigned. Required Qualifications Bachelor's degree in a related field. Three years or more experience in related engineering, military, policy, legal, or other
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degree in electrical engineering, computer engineering, computer science, or a related discipline prior to August 2026. Successful candidates are expected to mentor graduate students, teach our