Associate/Assistant Professor of Data Science

DETAILED LISTING OF RESPONSIBILITIES:

Teaching: The primary responsibility of a faculty member is for teaching and for supporting student learning both inside and outside the classroom.

Class Attendance: Faculty members should make clear that students are expected to attend class and complete required assignments.

Academic Advising: Shall advise students and also be available to assist students throughout the semester.

Department/Schools Meetings: Attending meetings on a regular basis and as necessary to facilitate communication and to accomplish the work required for the smooth operation of the department and school.

Attendance at Academic Functions: Full-time faculty members are expected to attend meetings of the faculty and any all-college meetings called by AUN administration.

Research: Faculty members are to engage in research activities that will promote self-development and the University

Community Service: Faculty are to contribute to AUN community service and development activities

Work directly with the departmental head/Dean to develop the annual courses

Perform Other duties as assigned by the Dean/Chair

Requirements for the position:

PhD. in Data Analytics or Computer Science (or a related discipline) from a reputable University

Academic concentration, research programs, and/or professional experience in area(s) directly related to Data/Business Analytics.

Expertise with popular analytics software tools and languages common in the industry such as SAS, IBM SPSS Modeller, SQL, R, Python, Hadoop, and Tableau.

Relevant teaching experience in data analytics, healthcare analytics, or social media analytics.

Professional certification in the field will be a plus

At least five (5) years of teaching and research experience garnered at a reputable University

Must possess verifiable evidence of scholarly publications in reputable conferences and journals

Knowledge of the principles, practices and theories of classroom and teaching

Should be proficient in use of ICT/online tools and e-resources for teaching and research

Industries:Higher Education

Function: Education & Training