Research Scientist, Texas GenAI Center

Job Posting Title:

Research Scientist, 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

Funding for the position is budgeted for three years; however, the position may continue beyond the initial budgeted timeframe contingent upon the realization of research funding from external grants or industry partners.

Purpose

Under the direction of the Director of the Center for Generative AI, the individual will, with independence commensurate with experience, perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within either the Department of Computer Science or the Department of Electrical and Computer Engineering depending upon the applicant’s research thrust. In addition to competitive salary and benefits, this position includes funding for independent travel to workshops, conferences and other universities and research labs.

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

• Natural Language Processing

• Computer Vision

• Machine Learning for Biology

• Machine Learning for Health/Medicine

Responsibilities

• Read and write manuscripts for publication in peer-reviewed conferences and journals.

• 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.

• Present research findings in public forums.

• Collaborate with researchers and students at UT Austin.

• Organize seminars, workshops, and other research activities.

Required Qualifications

Master’s degree in Computer Science, Computer Engineering or a very closely related field with major coursework in these areas. Five (5) years collaborative experience post-degree. Documented experience in project management in a research setting. Excellent communication and collaborative skills, both oral and written. Professional demeanor.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

PhD in a field related to computer science or computer engineering. Ten (10) years collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval processes. 

Salary Range

$150,000+ depending on qualifications

Working Conditions

• May work around standard office conditions.

• Repetitive use of a keyboard at a workstation.

Required Materials

• Curriculum vitae
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest

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:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Rec