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Postdoctoral Scholar - TIES Research Lab

The University of Texas at Austin
retirement plan
United States, Texas, Austin
101 East 27th Street (Show on map)
March 30, 2024

Job Posting Title:

Postdoctoral Scholar - TIES Research Lab

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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:

Exempt

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Earliest Start Date:

Sep 01, 2022

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Position Duration:

Expected to Continue Until Aug 31, 2023

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Location:

UT MAIN CAMPUS

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Job Description:

The Technological Interventions for Ecological Systems (TIES) Lab at the University of Texas at Austin is seeking an in-person, full-time research-focused postdoctoral fellow in the Department of Psychology to work with incoming Assistant Professor Dr. Adela Timmons. Research in the TIES Lab focuses on big data analytic and pervasive computing methods for building adaptive and responsive mental health interventions with the goal of increasing the reach and impact of mental health care. A special focus of TIES lab applications includes collecting data on couples and families from historically under-resourced and under-served backgrounds and investigating the impact of stress and adversity on family processes and child development. Another focus of the lab relates to addressing health disparities, especially AI ethics and bias in AI models. 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.

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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 a postdoctoral fellow with a background and research focus related to AI and software development to assist the lab's interdisciplinary team. The scholar will have the opportunity to write and publish multiple papers and grants related to machine learning, software, and clinical psychology applications for children and families. The fellow will also help coordinate the interdisciplinary team, create and implement app development initiatives, and pilot software with the team. This position is suitable for recent Ph.D. graduates interested in applying to academic positions in psychology, engineering, or related fields in 1-2 years.

The position will be active for 1 year with the possibility of renewal for a second year. A Ph.D. in psychology, data science, computer science, software development, engineering, or related field is required by the start date of 9/1/22. Preferred qualifications include a research interest and focus on technology and mental health and/or the development of machine learning algorithms and a history of conducting and publishing scientific research on this topic; and coding/software development experience. Fluency in Spanish is desired but not required.

Responsibilities
  • Write academic papers

  • Write grants

  • Coordinate interdisciplinary team meetings

  • Coordinate goals of app develop team

  • Run and coordinate app pilots

  • Mentorship of doctoral students

Required Qualifications

A Ph.D. in psychology, data science, computer science, software development, engineering, or related field is required by the start date of 9/1/22. The degree must have been conferred no more than three years prior to the start date.

Preferred Qualifications

Preferred qualifications include a research interest and focus on technology and mental health and/or the development of machine learning algorithms; a history of conducting and publishing scientific research on this topic; and coding/software development experience. Fluency in Spanish is desired but not required.

Salary Range

$50,000+ 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.

Importantfor 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 thatALLRequired 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 application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

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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. 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 finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an ,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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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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 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. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • [PDF]
  • [PDF]
  • [PDF]
  • [PDF]

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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). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in .

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the or obtain a copy at University Compliance Services, 1616 Guadalupe, Suite UTA 2.206, Austin, TX 78701.

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