RESA - TExUS

Position: RESA I - TExUS

Job Posting

Title:

RESA I - TExUS

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Hiring Department:

Department of Earth and Planetary Sciences

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Position Open To:

All Applicants

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Weekly Scheduled

Hours:

40

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FLSA Status:

Exempt

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Earliest

Start Date:

Immediately

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Position Duration:

Expected to Continue Until Dec 31, 2026

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The "University of Texas Extreme Weather and Urban Sustainability" (TExUS) lab located in the Jackson School of Geosciences at the University of Texas-Austin is a multidisciplinary research collective led by PI Professor Dev Niyogi. Working with us will give you the opportunity to explore open-ended research in a resource-rich, collaborative environment. We are seeking a highly motivated individual with a demonstrated capacity to conduct independent research, specifically on problems related to AI and geoscience, for a 5-8 month Co-op in-person in Austin, TX, beginning February 2026, or as soon as possible thereafter.

We are driven to produce high-impact research with real-world applications. As a research scientist at TExUS, you will support our core mission working side-by-side with PhD students, postdocs, and municipal partners to advance artificial intelligence for geoscience. Your role will be flexible and largely self-determined. Essential responsibilities may include developing, testing, and deploying code for large-scale model training and inference, attending weekly group meetings, and leading independent research efforts.

Ideal candidates will possess a blend of engineering, analytical, and interpersonal skills to effectively collaborate with our partners.

This is a one year temporary full-time salaried position with benefits, including healthcare, vision and dental coverage. There is a possibility of renewal for up to an additional 12 months contingent on performance. Hired persons are expected to be available in-person during standard business hours (M-F; 9AM-5PM).

Purpose

To conduct independent research, specifically on problems related to AI and geoscience.

Responsibilities

• In-person availability 40 hrs/week (Mon-Fri; 9AM-5PM)

• Effective, cordial collaboration with group PhD students, postdocs, and partners

• Successful completion (i.e., completed manuscripts) of 2-3 research projects submitted to high impact AI venues (ICLR, ICML, CVPR) or top-flight Journals (Nature)

Required Qualifications

• Bachelor's degree. Basic engineering and/or scientific equipment ordinarily used in college laboratory work.

• Currently authorized to work in the United States

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Postgraduate degree (Masters, Ph.D.) awarded by a major accredited university in a computational discipline (e.g., Computer Science, Electrical Engineering)

• Research experience: demonstrated capacity to conduct university-level research

• Publications accepted to top AI venues (e.g., ICML, ICLR, NeurIPS)

• Strong math and code abilities

• Proficiency in Python, modern ML frameworks (e.g., PyTorch, JAX/FLAX)

• Software engineering (SWE) experience, preferably as part of a large/industrial team

• Familiarity with atmospheric/Earth/geological sciences

Salary Range

$55,000

Working Conditions

• May work around standard office conditions

• Repetitive use of a keyboard at a workstation

• Occasional travel, Interstate/intrastate travel for programs, events, and meetings.

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

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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, to include 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 Teacher Retirement System of Texas (TRS), subject to the position being at least 20 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 finalist(s) 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…