Social Science Research Professional (Cheadle/Thomaz), Part-Time

Description

Job Posting Title:
Social Science Research Professional (Cheadle/Thomaz), Part-Time

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Hiring Department:
Population Research Center

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Position Open To:
All Applicants

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Weekly Scheduled Hours:
30

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FLSA Status:
Non-Exempt

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Earliest Start Date:
Jan 08, 2023

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Position Duration:
Expected to Continue Until Jun 07, 2023

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Location:
UT MAIN CAMPUS

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Job Details:
General Notes

What benefits do I receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards.

This position is eligible for a hybrid Flexible Work Arrangement (FWA) (on-campus and remote work). FWA arrangements are subject to manager approval and may shift due to changes in business needs. The remote location must have a reliable internet connection to support working remotely. UT policies on Flexible Work Arrangements are available at https://hr.utexas.edu/current/fwa.

For more information about the College of Liberal Arts, please visit: https://liberalarts.utexas.edu/.

Our college seeks to build a supportive, growth-minded community and cultivate outstanding and courageous leaders. For more information on the college staff leadership academy, please visit:

https://liberalarts.utexas.edu/resources-for-faculty-staff/staff-leadership-academy/.

For more information on college staff professional development, please visit:

https://wikis.utexas.edu/display/larc/Staff+Professional+Development+Fund.

Position preferred start date is 01/08/2023. This position is currently funded for 5 months from start date and will not be renewed. Employee will be expected to work 30 hours/week. The position is hybrid with a general expectation of being available to meet in person or online on a regular basis.

Purpose

This position will create and evaluate machine learning models using ECG data to predict/classify affective valence and arousal.

Responsibilities

Work with the project PI’s (Cheadle & Thomaz) to train machine learning models on data collected by our lab team

Meet with the project team on a weekly basis to discuss progress

Conduct research activities as directed

Other related functions as assigned

Required Qualifications

Sufficient experience and demonstrated skills to successfully perform the assigned duties and responsibilities

Ability to take initiative in working both independently and in cooperation with others.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

MA in engineering, computer science, or a related discipline.

A strong background in machine learning and Python.

Salary Range

$25/hour

Working Conditions

Typical Office/Lab Environment

Required Materials

Resume/CV

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

Letter of interest

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

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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 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 documents 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.