Faculty Position in Business Analytics and Information Systems

About the Institution
Al Akhawayn University in Ifrane (AUI) is a prestigious English-language public higher education institution in Morocco, distinguished as one of only three U.S.-accredited universities in Africa. Accredited by the New England Commission of Higher Education (NECHE) and home to an EFMD-accredited BBA program, AUI is actively pursuing AACSB accreditation, reinforcing its commitment to global academic excellence. As a liberal arts institution, AUI serves a diverse student body across multiple disciplines and fosters an inclusive, research-driven environment.

Nestled in the scenic Middle Atlas Mountains near the historic cities of Fez and Meknes, AUI offers a safe, family-friendly setting complemented by an American-style K-12 school affiliated with the university. With a strategic vision to expand to 5,000 students by 2025, AUI provides an intellectually stimulating atmosphere for faculty and students alike.

Job Summary
The School of Business Administration (SBA) at AUI invites applications for full-time faculty positions in Business Analytics and Information Systems. The appointment level—Assistant, Associate, or Full Professor—will be based on the candidate’s qualifications and experience. The ideal candidate will have a Ph.D. in Business Analytics, Information Systems, or a closely related field and be capable of teaching a diverse range of courses in these disciplines.

Successful candidates will be expected to engage in high-impact research, innovative teaching, and active service within the SBA and the broader university community.

Key Responsibilities

• Teach undergraduate and graduate courses in Business Analytics and Information Systems.
• Maintain an active research agenda that contributes to academic excellence.
• Engage in university and departmental service activities, including curriculum development, student mentoring, and academic program initiatives.
• Participate in accreditation efforts (AACSB, EFMD) and contribute to the school’s global academic reputation.
• Foster industry collaborations and interdisciplinary research initiatives.

Required Qualifications

• Ph.D. in Business Analytics, Information Systems, or a related discipline from an accredited institution.
• Demonstrated teaching excellence at the undergraduate or graduate level.
• A strong research record with publications in reputable peer-reviewed journals.
• Commitment to interdisciplinary teaching and research.
• Ability to contribute to the university’s accreditation and strategic goals.

Preferred Qualifications

• Prior experience in AACSB-accredited institutions.
• Experience supervising graduate research projects and theses.
• Industry experience or applied research in business analytics, AI, data science, or digital transformation.
• Knowledge of learning technologies and innovative teaching methodologies.

Application Procedure
Interested candidates must complete the following steps:

1. Submit an online application by filling out the form at: AUI Job Application.
2. Email the following documents to search@aui.ma:
   • Statement of intent, detailing qualifications, teaching philosophy, and research interests.
   • Current CV with a complete list of publications and academic achievements.
   • List of three references, to be contacted during the final selection phase.

Email Subject Line Format: (SBA-BAIS-FirstName-LastName)
Attachment Naming Format: (SBA-BAIS-FirstName-LastName-AttachmentName)

Failure to follow the required format may result in the application not reaching the selection committee.

Application Review Process
Applications are reviewed on a rolling basis. Shortlisted candidates will be invited for an initial interview via Microsoft Teams. Finalists may be asked to present a teaching or research demonstration.

If you decide to apply for this position, kindly mention that you found it on AcademyHire.

This opportunity is ideal for faculty members looking to join a globally connected business school and contribute to an institution committed to academic excellence, research innovation, and student success.