Postdoctoral Fellow, Texas GenAI Center

Job Posting Title:

Postdoctoral Fellow, Texas GenAI Center

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Hiring Department:

Department of Computer Science

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

To Be Determined at Offer

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Earliest Start Date:

Ongoing

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Position Duration:

Expected to Continue

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Location:

AUSTIN, TX

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Job Details:

General Notes

The anticipated duration for a fellowship is one or two years – to be decided at the time of appointment, with the possibility of extension based on mutual agreement and availability of funding.

Purpose

This postdoctoral fellow position will perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within the Department of Computer Science, the Department of Electrical and Computer Engineering, or the College of Information contingent upon their immediate faculty supervisor. Applicants will be reviewed and accepted on an ongoing basis. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs.

This multi-year program will host several postdoctoral researchers working on one or more of the following topics:

• Natural Language Processing
• Computer Vision
• Machine Learning for Biologics
• Machine Learning for Health/Medicine

Responsibilities

• Read and write manuscripts for publication in peer-reviewed conferences and journals.
• Present research findings in public forums.
• Collaborate with researchers and students at UT Austin.
• Organize seminars, workshops, and other research activities.
• Advance collaborative projects with industry via the Machine Learning Laboratory’s industry affiliates partner program. Candidate should expect to spend one day per week on industry-facing projects.

Required Qualifications

• Ph.D. earned within the last three years in the field of computer science or engineering.
• Productive, self-driven, and collaborative scholar with a strong publication track record.
• Good communication skills and ability to convey research ideas to a broad audience.

Salary Range

$80,000+ depending on qualifications

Working Conditions

• Work in an academic research environment

Required Materials

• Curriculum vitae,
• Research statement
• Arrange for two references to send recommendation letters to rrice@utexas.edu.

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

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