OPS Student Assistant – Computer Vision Video Analytics (CUTR)

University of South Florida in; Tampa (FL); On-site; USD 25,000 - 34,000; Full time

Job summary

University of South Florida seeks an OPS Student Assistant for Computer Vision Video Analytics to support the MIPI program. The role involves processing video data and applying computer vision techniques to count motorcycles and bicycles on roadways, with responsibilities including object detection and tracking.

The position is paid hourly ($18–$25) and requires 10–20 hours per week, with opportunities for collaboration across engineers, planners, and health professionals.

Qualifications

• Demonstrated proficiency with computer vision techniques (e.g., YOLO or similar models).
• Strong communication and teamwork skills, including the ability to provide and receive timely feedback.
• Ability to meet established deadlines.

Responsibilities

• Detect and track objects in video data using computer vision techniques
• Install and collect video cameras in field locations
• Perform other related duties as assigned

Skills

Computer Vision

YOLO or similar models

Communication & teamwork

Deadline management

Tools

OpenCV

Job description

OPS Student Assistant – Computer Vision Video Analytics (CUTR) (Finance)

Hourly Rate: $18-$25

Hours: 10-20 hours per week

The Motorcycle Injury Prevention Research (MIPI) Program conducts research and educational outreach to reduce motor-vehicle injuries and fatalities, with a focus on motorcycles and electric bicycles. The interdisciplinary MIPI team includes engineers, planners, and public health professionals with expertise in behavioral traffic safety.

MIPI is currently conducting video-based research to count motorcycles and bicycles on roadways. The program is seeking an OPS student assistant to provide Computer Vision Video Analytics support.

Minimum Qualifications

• Demonstrated proficiency with computer vision techniques (e.g., YOLO or similar models)
• Strong communication and teamwork skills, including the ability to provide and receive timely feedback
• Ability to meet established deadlines

Preferred Qualifications

• Research experience in computer vision or video analytics
• Valid driver's license

Working at USF

With approximately 16,000 employees, the University of South Florida is one of the largest employers in the Tampa Bay area. We are dedicated to cultivating a talented, engaged and driven workforce that strives to be bold. Employees excel in USF's rich academic environment, which fosters their development and advancement. In 2025, Forbes recognized USF as one of Florida's best large employers, ranked No. 1 among the state's 12 public universities. Our first-class benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and hundreds of employee perks and discounts.

About USF

The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg, Sarasota-Manatee and USF Health. USF is recognized by U.S. News & World Report as a top 50 public university and the best value in Florida. U.S. News also ranks the USF Health Morsani College of Medicine as the No. 1 medical school in Florida and in the highest tier nationwide. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $738 million in research funding in 2024 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future. The university generates an annual economic impact of more than $6 billion. USF's Division I athletics teams compete in the American Athletic Conference. Learn more at www.usf.edu .

Compliance and Federal Notices

This position may be subject to a Level 1 or Level 2 criminal background check.

Applicants have rights under Federal Employment Laws:

The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws.

Family and Medical Leave Act (FMLA)

Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Visit the Central Human Resources ADA Accommodations webpage for more information on requesting an accommodation during the application/interview process.

Equal Employment Opportunity

The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains affirmative action programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. This job description does not constitute an employment contract.

Duties and Responsibilities

• Detect and track objects in video data using computer vision techniques
• Install and collect video cameras in field locations
• Perform other related duties as assigned

Physical Demands / Work Environment

• Up to 20% travel for camera installation and collection
• Combination of office and field work
• Ability to sit, stand, bend, and lift up to 40 lbs
• Ability to work early morning or late evening hours as required