Asst. Professor - Computer Science teaches courses in the discipline area of computer and information sciences. Develops and designs curriculum plans to foster student learning, stimulate class discussions, and ensures student engagement. Being an Asst. Professor - Computer Science provides tutoring and academic counseling to students, maintains classes related records, and assesses student coursework. Collaborates and supports colleagues regarding research interests and co-curricular activities. Additionally, Asst. Professor - Computer Science typically reports to a department head. Requires a PhD or terminal degree appropriate to the field. Has experience and is qualified to teach at undergraduate and graduate levels and contributes to research In a specialized field. (Copyright 2024 Salary.com)
TITLE: Assistant Professor of Computer Science in Data Science and Artificial Intelligence
DEPARTMENT: College of Agriculture, Community, and the Sciences
REPORTS TO: Chair of the School of Science, Technology, Engineering, and Mathematics
EFFECTIVE DATE: TBD
EMPLOYMENT STATUS: Full-time
EMPLOYMENT CLASSIFICATION: Exempt
PRINCIPAL PURPOSE OF JOB:
The Assistant Professor in Computer Science in Data Science and Artificial Intelligence (AI) in the School of Science, Technology, Engineering, and Mathematics is a 9-month non-tenure track position in Computer Science at Kentucky State University. The successful candidate will have earned a degree from a regionally accredited institution of higher education in Computer Science with a minimum of 18 graduate hours in Computer Science and a strong background in Data Science, Artificial Intelligence, Deep Learning, and
Databases. The successful candidate will teach undergraduate and possibly some graduate courses, serve as an academic advisor, participate in curriculum development, serve on institutional committees, as well as area field instructional, mentor students in research projects, and service-related duties as assigned. A strong commitment to diversity is essential.
SCOPE OF RESPONSIBILITY:
The Assistant Professor in Computer Science in Data Science and Artificial Intelligence (AI) is a 9-month non-tenure track position who will have a strong background in Data Science, Artificial Intelligence, Deep Learning, and Database. The successful candidate will teach undergraduate and possibly some graduate courses, serve as an academic advisor, participate in curriculum development, serve on institutional committees, mentor students in research projects, and other duties as assigned. A strong commitment to diversity is essential. Priority will be given to candidates with proven prior university teaching experience implementing cutting-edge instructional technologies to promote student problem-solving skills within campus laboratory and BlackBoard distance learning environments. The successful candidate is expected to help recruitment of potential Computer Science students, collaborate with colleagues, assist in curriculum development, and support the HBCU mission.
ESSENTIAL JOB FUNCTIONS:
OTHER DUTIES: Perform other duties as assigned.
QUALIFICATIONS:
A Ph.D. degree is preferred but will consider a Master’s in Computer Science or a related field. A strong background in Data Science, Artificial Intelligence, Deep Learning, and Database development is desired.
KNOWLEDGE, SKILLS, and ABILITIES:
SUPERVISORY RESPONSIBILITY: This position does not have any supervisory responsibilities.
PHYSICAL REQUIREMENTS:
Internal Candidates are Encouraged to Apply
Applicants must be authorized to work for any employer in the United States. At this time, Kentucky State University is unable to sponsor or take over sponsorship of an employment visa
KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer
The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform.