Adjunct, Data Science

Agupdate

Long Branch (NJ)

On-site

USD 13,000 - 15,000

Part time

14 days+

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Benefits offered by this job

Employee Benefits
On-campus facilities

Job summary

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.

Teaching is in person on the West Long Branch campus (on-site). Adjunct positions are posted to expand the pool of qualified faculty, with screening commencing when positions become available.

Qualifications

  • Master's degree or higher in Data Science, Artificial Intelligence, Computer Science, or a related field.
  • Experience teaching Data Science, Artificial Intelligence, or related topics at the higher-education level.
  • Excellent interpersonal, organizational and communication skills.

Responsibilities

  • Teach 3–6 credits of undergraduate and/or graduate-level Data Science courses each semester.
  • Develop and deliver course lectures, discussions and assignments aligned with curriculum.
  • Provide time outside class to meet with students and give timely feedback.
  • Foster an inclusive learning environment and assess student outcomes.

Skills

Data Science
Artificial Intelligence
Teaching in higher education

Education

Master's degree or higher in Data Science/AI/CS

Job description

Adjunct, Data Science

Job Category: Faculty

Requisition Number: ADJUN001333

Posted: May 04, 2026

Part Time

On-site

Rate:

Monmouth University Main Campus

West Long Branch, NJ

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.

Additional Application Material Required:

Monmouth University requires all applications and supporting documents to be submitted via the university's career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded.

  • Resume or Curriculum Vitae
  • Cover Letter
  • Contact Information for Three Professional References
  • Two Letters of Recommendation
Optional Documents:

Additional materials such as evidence of teaching effectiveness or student mentoring.

Special Instructions to Applicants:

We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University.

Duties and 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 the 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.

Enrichment Statement:

Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university.

Minimum Qualifications:

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.

Preferred Qualifications:

Industry experience in Data Science, Artificial Intelligence, Machine Learning, or a related field.

Questions regarding this search should be directed to:

Dr. Zheng at lzheng@monmouth.edu or 732-571-4459

Note to Applicants:

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.

Working at Monmouth University perks:
  • Employee Assistance Program (EAP)
  • Employee Tuition Remission
  • Employee elective deferrals to TIAA, 403(b) plan
  • On campus, Fitness Center – free membership

To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University

Department:

Computer Science and Software Engineering

Work Schedule:

Varies

Total Weeks Per Year

14

Expected Salary

$3,700 per 3-credit graduate-level course

Union

N/A

Job Posting Close Date

N/A

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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