Research Scientist, Texas GenAI Center

The University of Texas at Austin; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Travel funding for conferences

Support for independent research

Job summary

A leading research university in Austin is seeking a full-time Research Scientist for the Texas GenAI Center. The role involves publishing research, collaborating with industry partners, and managing projects. Applicants should have a Master’s degree, a minimum of five years of experience, and excellent communication skills. The position offers a competitive salary ranging from $90,000 to $120,000, along with benefits including travel funding for conferences. Join a pioneering research environment that values multidisciplinary collaboration.

Qualifications

• Minimum five (5) years of collaborative experience post-degree.
• Documented project management experience in a research setting.

Responsibilities

• Read and write manuscripts for publication in peer-reviewed conferences and journals.
• Advance collaborative projects with industry partners.
• Present research findings at public forums.
• Collaborate with researchers and students.
• Organize seminars and workshops.

Skills

Excellent oral and written communication skills

Collaborative experience

Professional demeanor

Education

Master’s degree in Computer Science or a related field

Ph.D. in a related field

Job description

Research Scientist, Texas GenAI Center

The University of Texas at Austin is inviting applications for a Research Scientist in the Texas GenAI Center. The position is managed by the Center for Generative AI and may be housed in either the Department of Computer Science or the Department of Electrical and Computer Engineering depending on the applicant’s research focus.

Funding for the role is budgeted for three years, with the possibility of continuation beyond that period if additional research funding is obtained. The appointment is full‑time (40 hrs/week) and includes competitive salary and benefits, travel funding for conferences and workshops, and support for independent research.

Responsibilities

• Read and write manuscripts for publication in peer‑reviewed conferences and journals.
• Advance collaborative projects with industry partners through the Machine Learning Laboratory’s industry affiliate program, dedicating one day per week to industry‑facing work.
• Present research findings at 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 closely related field.
• Minimum five (5) years of collaborative experience post‑degree.
• Documented project management experience in a research setting.
• Excellent oral and written communication skills.
• Professional demeanor.

Preferred Qualifications

• Ph.D. in a field related to computer science or computer engineering.
• Ten (10) years of collaborative experience post‑degree.
• Understanding of data privacy practices, laws, and IRB/Institutional Review Board approval processes.

Salary Range

$90,000 to $120,000+ (depending on education and experience).

Working Conditions

• Standard office conditions.
• Repeated keyboard use at a workstation.

Required Materials

• Curriculum vitae
• Three work references with contact information (at least one from a supervisor)
• Letter of interest

Application Instructions

Applicants who are not current university employees or contingent workers should submit a resume and the required materials through the online application portal. Current university employees and contingent workers must apply via Workday, using the Find UT Jobs search, and upload the required documents in the application questions section.

Equal Opportunity Employer

The University of Texas at Austin is an equal‑opportunity/affirmative action employer and complies with all federal and state laws regarding nondiscrimination. The university does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, disability, religion, or veteran status.