Data Science Instructor Jobs in Austin, TX (NOW HIRING)

Job Posting Title:
Postgraduate Associate for Academic Integrity
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Hiring Department:
College of Liberal Arts
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Jun 01, 2028
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Location:
UT MAIN CAMPUS
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Job Details:
General Notes
Liberal Arts Instructional Technology Services (LAITS) is seeking a highly-skilled and motivated graduate student or postgraduate in data science/statistics, behavioral social science, computer science or similar field with an interest in anomaly detection and cheating detection. Core responsibilities include managing and further developing academic integrity methods and approaches supporting online learning at The University of Texas.
These positions are fixed-term and expected to be funded for two years from the hire date.
Purpose
Manage, maintain, and further develop online course academic integrity methods and approaches, with a focus on anomaly detection and cheating detection, in support of Liberal Arts Instructional Technology Services (LAITS)-supported online courses and programs for campus.
Responsibilities

• Manage current Academic Honesty support efforts for LAITS online courses. Consult with instructors about available academic honesty tools e.g. TOWER tool, Honorlock, TurnItIn, etc. Develop support plans with instructors. Coordinate with graduate student employees as needed to execute support plans or provide support directly. Product management of TOWER Academic Honesty tool. Consult with University instructors engaged with LAITS about Academic Honesty best practices in online courses (synchronous and asynchronous) and continue to develop those best practices. Advise LAITS instructors on isolated incidents of academic misconduct.
• Research, develop, and execute new or underutilized rigorous methods, processes, and capabilities for detecting cheating and promoting academic integrity. Design and implement efficient quantitative analyses to improve current methods and/or their interpretability. Research, develop, test new and updated cheating/anomaly detection methods using rigorous computational and/or quantitative methods. Researcher has independence to plan, test, and implement other relevant methods and development avenues of interest in consultation with supervisor.
• Other related functions as assigned.

Required Qualifications

• Master's Degree, or imminent or recent completion of PhD, in related field.
• Four years of experience in data science/statistics, behavioral social science, or a similar, research-focused field.
• Fluency with common statistical programming and software (such as R or Python), probability distributions (especially discrete probability distributions such as the binomial distribution), and data analysis including, but not limited to, data mining, descriptive statistics, multivariate modelling, and data visualization.
• Proficiency with permutation testing and/or bootstrapping techniques, research design, and data collection.
• The ability to learn new approaches and techniques as the need arises.
• Teaching or TA experience at the college level.
• Demonstrated understanding and experience with learning technology practices and software including, but not limited to, online courses and learning management systems.
• Interest in quantitative methods and working on processes, systems, and tools that promote academic integrity and student well-being.

Relevant education and experience may be substituted as appropriate.
Preferred Qualifications

• Master's Degree, or imminent or recent completion of PhD, especially from the University of Texas at Austin
• Skilled with quantitative methods in educational psychology, psychometrics, statistical modeling, etc.
• Experience with online teaching and learning, especially at the college undergraduate level.
• Experience with learning management platforms, especially Canvas.
• Demonstrated experience in seeking opportunities to improve processes and optimize work functions.
• Professional experience in a university setting.

Salary Range
$60,000 + depending on qualifications
Working Conditions

• May work around standard office conditions.
• Repetitive use of a keyboard at a workstation.
• Will work on multiple projects concurrently, under pressure of rigid deadlines and time limitations.
• Overtime, evening, weekend, and holiday work may be required to meet project deadlines.
• Work location is on the main UT campus.

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.
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.
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.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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.
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.
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. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [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 HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.