The Department of Supply Chain Management (SCM) at Rutgers Business School invites applications for a non-tenure track position of Instructor/Assistant Professor of Professional Practice in SCM to begin on either September 1, 2019 or January 1, 2020.
The teaching load will be 8 courses per year. Service responsibilities include supporting the continuous growth of the department's Corporate Partnership Program, especially in the supply chain analytics and artificial intelligence domain; coordinating the department's industry outreach and alumni relationship; leading activities such as alumni database, alumni/partner newsletters, alumni reunions, and the department's social-media websites/groups.
The SCM Department at Rutgers Business School offers programs at the Ph.D., MBA, M.S. and undergraduate levels, and, together with the Rutgers Center for Supply Chain Management, develops and runs domestic and international executive training programs. SCM courses are offered at both the Newark and New Brunswick campuses of Rutgers University during the day, evenings, and weekends, with continuously ever-growing student demand. The Rutgers SCM program has over 148 corporations as educational partners, and is highly ranked in the nation. In 2018, Gartner named it #2 (undergraduate) and #5 (graduate) in North America, while U.S. News & World Report ranked it #6 (Graduate) and #17 (Undergraduate). The Financial Times ranked the Rutgers MBA program #7 worldwide in Manufacturing/Logistics in 2017. The departments success has drawn many employers to Rutgers Business School to recruit SCM students, to launch joint research projects, and to deliver joint executive trainings. The role of SCM instructors/professors of professional practice is critical to the continued success of Rutgers SCM programs and offerings.
Successful applicants should hold a masters degree in supply chain management, operations management, industrial engineering, or a closely related discipline; have extensive industry experience at the senior executive level at major corporations; be well connected with various professional organizations such as ISM, APICS, and/or CSCMP; have established expertise in the various sub-disciplines of supply chain management, especially in supply chain analytics and artificial intelligence; and be able to teach effectively in undergraduate and executive programs. Successful candidates should have a strong interest in collaborating with academic faculty and in pursuing external grants. Demonstrated ability to teach supply chain analytics and artificial intelligence, supply chain risk and disruption management, or related courses is highly preferred.
Applications received by August 10, 2019 are guaranteed full consideration. Applicants should submit a package consisting of curriculum vitae, cover letter, and at least three reference letters through the following link: http://jobs.rutgers.edu/postings/95088
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Rutgers, The State University of New Jersey, is an Equal Opportunity/Affirmative Action Employer.
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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