Adjunct, Data Science
About The Position
Monmouth University is seeking qualified candidates for an Adjunct Professor of Data Science in the Computer Science and Software Engineering department. The successful candidate will teach undergraduate and/or graduate-level courses in Data Science. Part-time adjunct faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university’s pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps. This is an in-person, on-campus, non-remote position. For additional information about the department, please visit the Department of Computer Science and Software Engineering webpage.
Requirements
- Master’s degree or higher in Data Science, Artificial Intelligence, Computer Science, or a related field.
- Demonstrated expertise in Data Science or a related discipline.
- Experience teaching Data Science, Artificial Intelligence, or related topics at the higher-education level.
- Excellent interpersonal, organizational and communication skills.
Nice To Haves
- Industry experience in Data Science, Artificial Intelligence, Machine Learning, or a related field.
Responsibilities
- Teach 3-6 credits of undergraduate and/or graduate-level Data Science courses each semester, including topics such as data analytics, machine learning, ethics and bias in AI, applications of data science, advanced data science techniques, natural language processing, deep learning, computer vision, and low-code/no-code data analysis.
- Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives.
- Provide time during the week to meet with students outside of class.
- Foster a positive and inclusive learning environment conducive to student engagement and academic success.
- Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner.
- Provide timely feedback and guidance to students to support their learning and development.
Benefits
- Employee Assistance Program (EAP)
- Employee Tuition Remission
- Employee elective deferrals to TIAA, 403(b) plan
- On campus, Fitness Center – free membership
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
