Research Scientist, Texas GenAI Center
Listed on 2026-06-18
-
Research/Development
Data Scientist, Research Scientist
Job Title:
Research Scientist, Texas GenAI Center
Job SummaryUnder the direction of the Director of the Center for Generative AI, the Research Scientist will conduct independent research within the Texas GenAI Center and its parent organization, the Machine Learning Laboratory. The position is funded for three years, with potential continuation depending on external grants or industry partnerships.
Research Topics- Natural Language Processing
- Computer Vision
- Machine Learning for Biology
- Machine Learning for Health/Medicine
- 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 (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.
- Master’s degree in Computer Science, Computer Engineering, or a very closely related field with major coursework in these areas.
- Five (5) years of collaborative experience post‑degree.
- Documented experience in project management in a research setting.
- Excellent communication and collaborative skills, both oral and written.
- Professional demeanor.
- PhD in a field related to computer science or computer engineering.
- Ten (10) years of collaborative experience post‑degree.
- Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and IRB/Institutional approval processes.
$90,000 to $120,000+ (depending on education and experience)
Working Conditions- May work around standard office conditions.
- Repetitive use of a keyboard at a workstation.
The University of Texas at Austin is an equal opportunity employer and complies with all applicable federal and state laws regarding non‑discrimination 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.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).