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, computer science, cognitive science, or a related field. Application Instructions Applicants should upload a letter of application, a CV, a statement describing their research program, a statement of teaching
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Description The Department of Electrical and Computer Engineering at The University of Texas at Austin will fill faculty positions as needed, at the rank of Lecturer/Senior Lecturer/Distinguished
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scholar with expertise in the application of computational, data-science, and/or AI methods as applied to human data from one of many domains (e.g. memory, attention, emotion, language, social behavior
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people can thrive. Qualifications PhD in chemistry or closely related field. Application Instructions Complete applications should contain a cover letter indicating area of expertise, a curriculum vitae, a
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expect to benefit from and contribute to these efforts. Qualifications Candidates must have a PhD in engineering or a related discipline. The successful candidate will be expected to create undergraduate
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regulations.) Relevant education and experience may be substituted as appropriate. Preferred Qualifications Advanced Degree: MS or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering
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quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with
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of academic year 2026-27. Duties include undergraduate and graduate teaching, including in the Health & Society program, participation in the Center on Aging & Population Sciences, supporting research, programs
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salt nuclear chemistry Program development to create a sustainable research program Publications demonstrating quality work Required Qualifications PhD in nuclear engineering, chemical engineering, or
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs