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Social Science/Humanities Research Associate I

The University of Texas at Austin
UT MAIN CAMPUS, United States, United Statesfull_timeVerifiedPosted 12 Mar 2026
💰 $31,200/yr

About the role

Job Posting Title:

Social Science/Humanities Research Associate I

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Hiring Department:

Department of Psychology

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Non-Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until May 27, 2027

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The Technological Interventions for Ecological Systems (TIES) Lab at the University of Texas at Austin is seeking an in-person, full-time Social Science/Humanities Research Associate I in the Department of Psychology. The research focuses on big data analytics and pervasive computing methods to develop adaptive and responsive mental health interventions, with the goal of increasing the reach and impact of mental health care. A special focus includes collecting data on couples and families from historically under-resourced and underserved backgrounds and investigating the impact of stress and adversity on family processes and child development, as well as addressing health disparities, particularly issues related to AI ethics and bias in artificial intelligence models.

The position will also help develop and implement study protocols; recruit, interview, and train research assistants; support participant recruitment and engagement; conduct study sessions; monitor participant adherence; assist with IRB submissions and will have opportunities to conduct independent research, present findings at conferences, and contribute to scientific publications as an author.

This is a fixed-term 1-year position

Purpose

The interdisciplinary TIES lab team, consisting of clinical psychologists, data scientists, software developers, and engineers at UT Austin and other universities across the county, is currently building a comprehensive web app and mobile app data collection tool, developing machine learning algorithms to sense psychological states in daily life, and sending iterative micro-experimental mental health interventions via smartphones and wearable devices.

Responsibilities

  • Facilitate and coordinate grant project

  • Collect data

  • Manage and mentor research assistants

  • Data processing

  • Analyze data and scientific writing

Required Qualifications

  • A B.A. or B.S. in psychology or related field is required by the start date.

  • Fluency in Spanish is required.

  • Applicants should be highly organized, have exceptional interpersonal skills, be self-motivated, and demonstrate excellent attention to detail.

  • Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

A history of conducting and publishing scientific research on children and families exposed to stress and adversity and/or the role of technology in improving the reach and impact of mental health care. At lease 1-2 years prior experience working or volunteering in a research lab would be preferred.

Salary Range

$31,200+ depending on qualifications

Working Conditions

Typical office environment

Required Materials

  • Resume/CV

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

  • Personal/research statement: The personal/research statement should include a description of past experiences, future research foci, and fit to the current position.

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 applicatio

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Company

The University of Texas at Austin

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