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

• 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

The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking two experienced videographers, and an experienced photographer to capture and edit content for the March 24th RAD Symposium which will take place from 9am-4pm. This is an event which will include attendance and presentations from high-level executives, and will include focused panel discussions with industry leaders, a poster session, presentations and a networking portion., Minimum Education and Experience Requires excellent communication skills, and computer literacy. Experience with video and photo editing software Proficiency with camera equipment, * 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, 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.

Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

• 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
• Life insurance coverage
• Employee discounts programs

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.