22 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs at University of Texas at Austin
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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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decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (https://ml.utexas.edu
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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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of Mathematics. https://www.ma.utexas.edu/ Each R.H. Bing Fellow holds an Instructorship in the Department of Mathematics with a teaching load of one course per long semester. The combined Instructorship
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coverage Retirement contributions Paid vacation and sick time Paid holidays Please visit our Human Resources website (https://hr.utexas.edu/prospective/benefits ) to learn more about the total benefits
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found here: https://www.jsg.utexas.edu/people/postdoctoral-fellows-programs/unit-level-postdoctoral-fellowships/ . For questions on these positions, please contact Dr. Chenguang Sun at csun@jsg.utexas.edu
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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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, or computational methods Strong organizational skills and ability to manage multiple projects independently Preferred Qualifications Interest and/or experience with large-scale natural language processing, machine
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials