The 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.
Desired Candidate Profile
Key Responsibilities
The successful candidate will be expected to:
Teach undergraduate courses within assigned disciplines
Prepare and deliver engaging course materials aligned with curriculum standards
Support student learning and success both inside and outside the classroom
Collaborate with full-time faculty in curriculum development and program assessment
Participate in periodic evaluations and contribute to continuous academic improvement
Required Skills and Qualifications
Excellent communication and instructional skills in English (language of instruction is English)
Demonstrated commitment to excellence in teaching and student success
Ability to engage effectively with diverse student and faculty populations
Proficiency in instructional technology and learning management systems
Required Qualifications
Candidates must have:
PhD in Industrial Engineering or a closely related field from a recognized and reputable institution
University-level teaching experience in the discipline required
Industry experience in the teaching field preferred
Commitment to academic quality and professional integrity