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Research Assistant

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: Rutgers University
Full Time, Part Time position
Listed on 2026-09-23
Job specializations:
  • Science
    Data Scientist, Research Assistant/Associate
Salary/Wage Range or Industry Benchmark: 25 - 30 USD Hourly USD 25.00 30.00 HOUR
Job Description & How to Apply Below

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

For two consecutive years, Rutgers is ranked on Forbes' list of America’s Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication’s 2023 list.
Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Posting Summary

Rutgers, The State University of New Jersey, is seeking a part-time Research Assistant for the Center for Discrete Mathematics and Theoretical Computer Science ( DIMACS ). The Research Assistant will work on a project that will examine the emerging vulnerabilities created by the rapid deployment of artificial intelligence systems at sports and entertainment venues, where AI is now beginning to be embedded in areas such as access control, crowd management, vehicle screening, threat alerts, and personalized patron engagement.

The project aims to identify how AI is currently used or planned to be used in venues, understand the associated risks, and develop actionable countermeasures.

Key Duties
  • Assists with literature reviews.
  • Summarizes interviews and transcribe audio recordings of interviews.
  • Works with secure (password protected) files.
  • Assists with structured AI risk assessments.
  • Participates in tabletop exercises.
FLSA

Nonexempt

Salary Details

$25 - $30 per hour

Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax‑deferred savings options
  • Employee and dependent educational benefits (when applicable)
  • Life insurance coverage
  • Employee discount programs
Position Status

Part Time

Working Hours

Up to 19.5 hours per week

Daily Work Shift

Day

Work Arrangement

Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, subject to change or discontinuation, and contingent on the employee receiving approval in the Flex Work@RU Application System.

Payroll Designation

People Soft

Terms of Appointment

Temporary Staff Appointment - Hourly

Minimum Education and Experience
  • Bachelor’s degree in a related field, or an equivalent combination of education and/or experience.
Required Knowledge, Skills, and Abilities
  • Understanding of the security of AI systems.
Preferred Qualifications
  • Advanced degree.
  • Experience with AI risk frameworks such as those from DHS , CISA , and NIST , and MITRE .
  • Background in and practical experience with data science, machine learning, and software engineering
  • Background in deep learning, computer…
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