32 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" research jobs at University of Texas at Austin in United States
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invite applications from varied relevant academic backgrounds, including Computer Science, Engineering, Statistics, and Data Science. Successful candidates will have a Ph.D. in a relevant field of research
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receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my
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UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total
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effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: http://www.utexas.edu/hr/documents
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
Job Posting Title: Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering ---- Hiring Department: Walker Department of Mechanical Engineering
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and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services
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in the Science of Learning and Metacognition Lab (SLAM lab; https://sites.edb.utexas.edu/slam/) under the primary mentorship of Veronica Yan, Ph.D. The lab’s research integrates cognitive, socio
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selected candidate is expected to work on campus at the University of Texas at Austin at least one to two days per week. This is a full-time position supported by multiple funding sources. Employment is
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analyses of experimental fibers Prepare and compose research manuscripts for publication Required Qualifications Ph.D. in Fiber/Textile Science and Engineering, or a related field in Polymer Material Science
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(e.g., SEM path analysis models, growth modeling, latent class analysis, multilevel models), experience with multiple methods (e.g., observational; qualitative; intervention research), and strong writing