Generative AI Research Scientist

1 week ago

Austin, Texas, United States University of Texas at Austin Full time

Job Posting Title:

Generative AI Research Scientist

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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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Location:

AUSTIN, TX

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Job Details:

General Notes

This position is funded for a duration of three years, with the possibility of extension based on the acquisition of additional research funding from external sources or industry collaborations.

Purpose

Under the guidance of the Director of the Center for Generative AI, the selected candidate will independently conduct research within the Center for Generative Artificial Intelligence and its affiliated Machine Learning Laboratory. Appointments will be made within either the Department of Computer Science or the Department of Electrical and Computer Engineering, depending on the applicant's research focus. In addition to a competitive salary and benefits, this role includes funding for independent travel to workshops, conferences, and other academic institutions.

This multi-year initiative will host several researchers engaged in one or more of the following areas:

  • Natural Language Processing
  • Computer Vision
  • Machine Learning in Biological Sciences
  • Machine Learning in Healthcare
Responsibilities
  • Prepare and submit manuscripts for publication in peer-reviewed journals and conferences.
  • Advance collaborative projects with industry partners through the Machine Learning Laboratory's affiliate program, dedicating one day per week to industry-focused initiatives.
  • Present research findings at public forums.
  • Collaborate with researchers and students at the University.
  • Organize seminars, workshops, and other research-related activities.
Required Qualifications

A Master's degree in Computer Science, Computer Engineering, or a closely related field with significant coursework in these disciplines. A minimum of five years of collaborative experience post-degree. Proven experience in project management within a research environment. Strong communication and teamwork skills, both verbal and written. Professional demeanor is essential.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

A PhD in a field related to computer science or computer engineering. Ten years of collaborative experience post-degree. Practical knowledge of data privacy regulations and laws to ensure confidentiality and security, as well as familiarity with IRB/Institutional approval processes.

Salary Range

$150,000+ based on qualifications.

Working Conditions
  • Standard office environment.
  • Repetitive use of a keyboard at a workstation.
Required Materials
  • Curriculum vitae
  • Three professional references with 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, and then you will have the 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. Ensure that all required materials have been uploaded before submitting your online job application.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you must apply within the designated system. If you are a current employee, log in to your profile, navigate to the Career link, and update your professional profile before applying. The application will be streamlined, and you will be prompted to upload your resume and respond to application questions to upload any additional required materials.

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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 Recruiting, including both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is the 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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Background Checks:

A criminal history background check will be required for finalists under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment.

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E-Verify:

The University of Texas at Austin uses E-Verify to check the work authorization of all new hires.

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act).

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