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.
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.
Requirements
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
Additional Information
Job Posting Title:
Postgraduate Associate for Academic Integrity ----
Hiring Department:
College of Liberal Arts ----
Position Open To:
All Applicants ----
Weekly Scheduled Hours:
40 ----
FLSA Status:
Exempt from FLSA ----
Earliest Start Date:
Immediately ----
Position Duration:
Expected to Continue Until Jun 01, 2028 ----
Location:
UT MAIN CAMPUS ----
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.
Utaustin · UT Main Campus