Publisher
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The University of Texas at Austin

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Postdoctoral Fellowship in Generative AI, Machine Learning, NLP, Computer Vision, and Health/Biologics at UT Austin The University of Texas at Austin in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The fellowship is expected to last one or two years, with possible extension by mutual agreement and subject to funding availability. Salary is $80,000 or more depending on qualifications, with competitive benefits and funding for independent travel to workshops, conferences, and other universities and research laboratories.

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Country

United States

University

The University of Texas at Austin

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Natural Language Processing
Computer Vision
ML

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About this position

The University of Texas at Austin is recruiting a Postdoctoral Fellow to conduct research in the Texas Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory.

The fellowship supports research across natural language processing, computer vision, machine learning for biologics, and machine learning for health and medicine. Fellows will develop research projects, read and write manuscripts for peer-reviewed conferences and journals, present findings publicly, and collaborate with researchers and students across UT Austin.

The role also includes organizing seminars, workshops, and other research activities, as well as advancing collaborative projects with industry through the Machine Learning Laboratory’s industry affiliates partner program. Fellows should expect to spend one day each week on industry-facing projects, gaining experience at the intersection of academic research and applied machine learning.

Successful candidates will be appointed through the Department of Computer Science, the Department of Electrical and Computer Engineering, or the College of Information, depending on their immediate faculty supervisor. The position offers an academic research environment within a major interdisciplinary AI and machine learning community in Austin, Texas.

Funding details

The fellowship is expected to last one or two years, with possible extension by mutual agreement and subject to funding availability. Salary is $80,000 or more depending on qualifications, with competitive benefits and funding for independent travel to workshops, conferences, and other universities and research laboratories.

What's required

Applicants must have earned a Ph.D. in computer science or engineering within the last three years. Candidates should be productive, self-driven, collaborative scholars with a strong publication track record and good communication skills, including the ability to convey research ideas to broad audiences. Required application materials are a curriculum vitae and research statement, and two references must send recommendation letters to [email protected]. Finalists will undergo a criminal history background check and successful hires must satisfy U.S. employment eligibility and I-9 requirements.

How to apply

Apply online through the Workday job posting. Upload a curriculum vitae and research statement, and arrange for two references to email recommendation letters to [email protected]. Applicants should ensure all required materials are uploaded before submitting because applications cannot be changed afterward.

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