Position Description
The Department of Computer Science at Long Island University (LIU) Brooklyn is inviting applications for part-time/adjunct faculty in various areas of Artificial Intelligence (AI) and Computer Science. The department seeks to build a pool of highly qualified candidates to prepare and teach assigned courses at the undergraduate and graduate levels.The candidates need to adapt to a fast-paced learning environment and be proactive, creative, self-motivated and have a strong desire to introduce project-based and experiential learning opportunities in the assigned courses. Significant professional experience and/or equivalent research experience are highly desired.
Required Minimum Qualifications
- M.S. degree or Ph.D. in Computer Science, Artificial Intelligence, or closely related fields
- Ability to teach various undergraduate or graduate level courses - Excellent communication skills
- Ability to participate and contribute to the department assessment of learning
- Proficiency in computer programming languages (e.g., Java, Python, C++/C, Java, etc.) and computational tools and platforms appropriate for the assigned courses
- Commitment for project-based learning and excellence and effectiveness in teaching
- A minimum of 2 to 3 years of professional experience and/or equivalent research experience.
Application Procedures
A full application must include a cover letter describing the applicant’s teaching interest, a CV, teaching evaluations if applicable, and a list of two references, including names, email, address, and telephone number.
Only electronic documents will be accepted. Please complete the on-line application in addition to providing the required documents. All required documents must be submitted for review consideration.
Salary: $1,000-$1,350 per credit
LIU is committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our academic community. LIU encourages applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States