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# Adjunct, Data Science

- **Company:** Monmouth University
- **Location:** West Long Branch, NJ, United States (Remote available)
- **Salary:** $44,400.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Machine Learning, Natural Language Processing, Software Engineering, Deep Learning, Information Technology, Data Analytics, Low-code
- **Published:** July 23, 2026
- **Apply:** https://www.juju.com/job/00000000gikktr

## About the Role

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., * 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.

## Description

* 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.


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