Responsibilities:

Collaborate with department to define tasks, setup equipment and manage production
Captures high quality photos and videos of every aspect of the event
Transports, sets up, and operates production equipment
Responsible for editing and delivering the final product back to RAD
Setting up and taking down equipment
Ensure that the equipment is present and working

Position Status:

Part Time Posting Open Date:

03/16/2026 Minimum Education and Experience

Requires excellent communication skills, and computer literacy.
Experience with video and photo editing software
Proficiency with camera equipment Required Knowledge, Skills, and Abilities Ability to work in a fast-paced environment Knowledge of video editing applications and procedures.

Understanding of computer software used for planning, editing and scripting The ability to provide professional insight and advice to RAD team members regarding production Preferred Qualifications A bachelor's degree in a related field, or an equivalent combination of education and/or experience. Equipment Utilized High quality camera and recording devices Lenses Mounts Audio cables Tripods Lightning Microphones Editing software Physical Demands and Work Environment Physical ability to move and hold recording equipment for long periods Ability to setup and take down equipment. Must bring own professional level equipment and software to accomplish the outlined responsibilities. Statement About the

RAD Collaboratory:

The RAD Collaboratory is a New Brunswick Chancellor Signature Initiative (CSI) that aligns to the Academic Master Plan. This CSI serves as a hub for data science, artificial intelligence, student programming, and community engagement. The RAD Collaboratory partners with AI and data science initiatives across the university. The RAD Collaboratory will be comprised of different research areas, each led by a faculty area lead. The vision of the RAD Collaboratory is \"Deep Learning, Deep Connections.\"

Campus:

Rutgers University-New Brunswick Home Location Campus:

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Coadjutant Researcher Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory