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

About this position

Salary Details $1,000 for every 20 studentsOffer 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 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 For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking an instructor to host their SURF workshop "Crash Course in Public Speaking". Responsibilities: Three sessions for a maximum of 20 students Session will be held on Mondays Session 1- 3 hours devoted to process Session 2 - 3 hours devoted to process Session 3 - Sharing of Speeches Workshop Structure: Day 1 Session 1- Part 1 Lecture: Introduction (30 minutes) Goals, objectives, structure and content of the workshop Applying terms (Acting techniques for scientists) Experiential learning/ tapping into the intuitive - Training your sensory equipment Improvisation: The interpersonal in the presentational (60 minutes) Goals and objectives Understanding the process Rules for improvisation Theater Games and Ensemble building exercises BREAK Session 1 - Part 2 Lecture: Preparing Speeches (30 minutes) Choosing a topic for your speech Identifying The Central Idea or Premise (The What) Emotional Essence (The So What) Analogy Metaphors and Similes Storytelling (Transforming the Central Idea into a Premise) Improvisation: The interpersonal in the presentational (60 minutes)Theater Games and Ensemble building exercises Homework Write a 3-minute speech for Sharing in class Day 2 Session 2- Part 1 Lecture: Preparing Speeches for Sharing (60 minutes) Text analysis and choosing strong and clear objectives Developing a relationship with the audience Learning about the rehearsal process Improvisation: Rehearsal process for Sharing Speeches (60 minutes) Pursuing and testing objectives (Table Work) Refining movement (Blocking) BREAK Session 2 - Part 2 Improvisation: Rehearsing Process for Sharing Speeches (60 minutes) Making adjustments (Working Rehearsal) Integrating all process (Run Through Rehearsal) HomeworkMemorize speech with objectives and blocking for sharing in class Day 3 Session 3 - Part1 Sharing Speeches: 3-minute sharing of speeches (?)Guided self-evaluation BREAK Session 3 - Part 2 Sharing Speeches: 3-minute sharing of speeches (?)Guided self-evaluation Position Status: Part Time Posting Open Date: 10/28/2026 Minimum Education and Experience Requires excellent communication skills, and computer literacy. Masters degree in related field Required Knowledge, Skills, and Abilities Ability to work in a fast-paced environment Understanding of computer software used for planning, editing and scripting The ability to provide professional insight and advice to RAD team members regarding workshop logistics Physical Demands and Work Environment Space - a room that has open space with chairs that can move (not on casters) and without large tablesStatement 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: Busch (RU-New Brunswick) City PiscatawayState NJ

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