Assistant Professor Supply Chain Concentration

Overview

Assistant Professor Supply Chain Concentration position in the Division of Academic Affairs, Department of Information Science and Systems at Morgan State University. Full-time faculty appointment under the Earl G Graves School of Business and Management with responsibilities spanning teaching, scholarly activity, and service.

Responsibilities

The person holding this position will be responsible for developing and teaching online and face-to-face undergraduate and graduate level courses in Cybersecurity, data analytics, information systems and/or project management. The candidate will conduct research, write proposals and obtain grants in areas of Supply Chain Management utilizing technical toolsets such as data analytics, quantum computing, artificial intelligence, etc., leading to publishing in refereed journals and presenting the research in local and national conferences and serve as a member of professional organizations. The candidate will participate in Department, School and University committees. Teaching assignments will include courses in our Bachelors program in Supply Chain Management, Information Systems, Cybersecurity Intelligence Management and doctoral courses in Supply Chain and Logistics Management. Depending on background and qualifications, may include courses in business statistics, supply chain and operations management, project management, and enterprise information systems (SAP).

Knowledge, Skills, Abilities & Other Characteristics

As a member of the faculty, engagement in multidisciplinary work with faculty with very diverse backgrounds is anticipated.

Required Minimum Qualifications

The successful candidate will have an earned doctorate (by August 2024) in Supply Chain Management, Information Systems, Computer Science, Computational Statistics, or related disciplines such as Decision Sciences, Management Sciences with research experience in artificial intelligence or quantum computing applied to Supply Chain Management.

Other Preferences for Consideration

The candidate should have a demonstrated record of quality research, writing proposals, and the potential for excellence in teaching.

Prior work experiences that use related skills are desirable, though not necessary.

Consideration will be given to candidates who are conversant with computational methods.

Seniority level

Entry level

Employment type

Full-time

Job function

Education and Training

Industries

Higher Education

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