Requirements
Candidates must have a PhD in Industrial Engineering or a closely related field, with university-level teaching experience in the discipline. Industry experience in the teaching field is preferred. Excellent communication and instructional skills in English, proficiency in instructional technology and learning management systems, and a demonstrated commitment to teaching excellence are also required.
Description
Visiting Faculty in Industrial EngineeringArtificial Intelligence, Digital Systems, and Industrial AnalyticsAmerican InternationalUniversity, KuwaitNote: Position is open to local candidates onlyAbout The American InternationalUniversityAmerican International University (AIU) is a private institution in Kuwait, founded in 2019, offering undergraduate programs based on the American model of higher education. AIU provides degrees in Engineering, Architecture a Design, and Business Administration, with English as the language of instruction. The University is committed to fostering intellectual, cultural, and personal growth, preparing graduates for leadership roles in a global society.For moreinformation,visit:SchoolofEngineeringProfileThe School of Engineering and & Computing at the American International University in Kuwait comprises the departments of Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Cybersecurity, Electrical Engineering, Industrial Engineering, and Mechanical Engineering. The school offers Bachelor of Science (BSc) degrees in Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Cybersecurity, Electrical Engineering, Industrial Engineering, and Mechanical Engineering.Position SummaryThe Department of Industrial Engineering invites applications for a visiting faculty position from outstanding candidates with expertise at the intersection of Industrial Engineering, Artificial Intelligence, software-driven systems, optimization, and data analytics. We seek a highly qualified and forward-looking academic who can contribute to teaching, research, graduate supervision, and industry collaboration, while helping shape a modern Industrial Engineering department aligned with Industry 4.0, smart systems, digital transformation, and applied research excellence. The candidate is expected to have an exceptional track record in artificial intelligence and machine learning, including demonstrated expertise in large language models and robotics-oriented applications. The successful candidate is expected to develop an exceptional teaching and research portfolio that strengthens the department's undergraduate and postgraduate offerings, with a particular role in supporting and expanding the MSc programs through advanced teaching, thesis supervision, interdisciplinary research, and curriculum innovation.Key ResponsibilitiesThe successful candidate will be expected to:Teach undergraduate courses within assigned disciplinesPrepare and deliver engaging course materials aligned with curriculum standardsSupport student learning and success both inside and outside the classroomCollaborate with full-time faculty in curriculum development and program assessmentParticipate in periodic evaluations and contribute to continuous academic improvementRequired Skills and QualificationsExcellent communication and instructional skills in English (language of instruction is English)Demonstrated commitment to excellence in teaching and student successAbility to engage effectively with diverse student and faculty populationsProficiency in instructional technology and learning management systemsRequired QualificationsCandidates must have:PhD in Industrial Engineeringor a closely related field from a recognized and reputable institutionUniversity-level teaching experience in the discipline requiredIndustry experience in the teaching field preferredCommitment to academic quality and professional integrityHowtoApplyInterestedcandidatesshouldvisittheJobOpportunitiessectiononourwebsiteandsubmita resume andcoverlettervia:Applications will be reviewed on a rolling basis until the position is filled. The successful candidate is expected to commence employment on August 30, 2026.