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  • Adjunct Instructor - Data Science

    New Jersey Institute of Technology (Newark, NJ)



    Apply Now

    Title:

    Adjunct Instructor - Data Science

    Department:

    Data Science

    Reports To:

    Chair

    Position Type:

    Faculty

    Position Summary:

    The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates are expected to teach one or two introductory programming courses and advanced courses in support of our undergraduate and graduate DS programs. NJIT has recently expanded its graduate programs to Jersey City, just across the Hudson River from the financial district of Lower Manhattan in New York City, where it serves the many working professionals in that region. Instructional staff are expected to teach at this site as needed or on the Newark Campus.

    Essential Functions:

    The successful candidate will be expected to teach undergraduate and graduate courses as well as create course content and materials.

    Prerequisite Qualifications:

    Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred). Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience. Knowledge in data/computer science pedagogy is a plus.

    Preferred Qualifications:

    Strong written, oral, and interpersonal skills are required in order to communicate effectively with students in person and online. The formal education and experience prerequisites may be waived at the university’s discretion if the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.

    Bargaining Unit:

    AFT-UCAN

    FLSA:

    Non-Exempt

     

    Part-Time

     


    Apply Now



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