121 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Texas at Austin in United States
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://mrc.utexas.edu/facilities). Computational resources include the Texas Advanced Computing Center (TACC: https://www.tacc.utexas.edu), which designs and operates some of the world’s most powerful computing resources
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, driving meaningful adoption of AI capabilities in teaching and learning. This position works at the intersection of instructional technology operations, digital adoption leadership, strategic program
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the Technology Services staff, currently encompassing computer, media, web, and database services. Provide leadership for the staff by developing a highly regarded technology-services organization that sustains a
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. Responsibilities Cultivate new and foster existing relationships with companies to identify solutions to industry’s needs: introducing UT-owned AI, computer science, and electrical engineering intellectual property
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at https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards to learn more about the total benefits offered. Purpose The Assistive Technology Access Coordinator
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. Maintain acceptable driver rating as established in Policy: UTS157 Section 2.5.4. May volunteer for the on-call program. Required Qualifications Bachelor's degree in engineering or a field related to the
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Job Posting Title: Senior Computer Operations Specialist ---- Hiring Department: Enterprise Technology - University Data Center ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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work week. Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. Join Liberal Arts Instructional Technology Services (https://liberalarts.utexas.edu
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campuses and facilities. Drive UT vehicle. Required Qualifications Bachelor's degree from an ABET-accredited program in Mechanical, Electrical, Civil Engineering or other related field of Engineering
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, contributing to the organization’s data-driven and AI-enabled transformation. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent