Postgraduate Associate Academic Integrity

Position: Postgraduate Associate for Academic Integrity
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, Turn It In , 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…