Professor Information Systems Engineering Man
About The Position
Harrisburg University of Science and Technology's mission is to stimulate economic growth in our region and beyond through an applied science and technology education that gives students a clear, dedicated pathway into STEM careers. Within this mission, the Department of Information Systems Engineering and Management (ISEM) has three core concentrations — Information Systems, Systems Engineering, and Operations Management — and addresses problems across services, manufacturing, healthcare, and supply chain-intensive industries. The department offers programs at all three levels: an ISEM PhD and Doctor of Engineering, an ISEM Master's, and a Bachelor of Science in Information Systems and Information Technology. This search is focused on strengthening the program's depth in supply chain and/or manufacturing, paired with strong, demonstrated expertise in artificial intelligence and machine learning, including the practical use of large language models (LLMs) and agentic AI systems to solve engineering and business problems. The appointment will be at the Assistant or Associate Professor level, with teaching responsibilities at the Master's and Doctoral levels. We seek a dedicated, research-active individual who is passionate about student success and contributing to a collaborative academic community.
Requirements
- An earned PhD or equivalent in Industrial Engineering, Supply Chain Management, Manufacturing, Mechanical, or Systems Engineering, or a closely related engineering or management discipline (required).
- A strong, proven background in supply chain operations/logistics and/or additive/advanced manufacturing, gained through industry practice, applied research, or both (required).
- Demonstrated experience applying artificial intelligence and machine learning — including LLMs and agentic AI — to supply chain or manufacturing problems, evidenced by deployed solutions, applied research, patents, or publications (required).
- Demonstrated readiness to design and teach foundational and advanced applied AI/ML courses, in addition to supply chain and/or manufacturing courses (required).
- Demonstrated teaching experience at the graduate and/or doctoral level.
- Willingness and aptitude for teaching and using technology in the classroom.
- Experience working with, mentoring, and advising students.
Nice To Haves
- A research track record with scholarly outputs — conference presentations, refereed journal publications, and other scholarly works — is preferred.
- Current or prior corporate/industry experience in supply chain, logistics, or manufacturing settings is preferred and valued.
- Experience with learning management systems (LMS) and online teaching platforms. The required HU LMS technology is Canvas, with MS Teams for collaboration.
Responsibilities
- Commitment to working with diverse student populations at both Master's and PhD levels, with a duty to equity in education.
- Commitment to delivering quality education per HU and ISEM requirements, and to developing, managing, and continuously improving program curricula.
- Commitment to building a solid research agenda, securing grants and funding, and producing peer-reviewed publications.
- Provide academic and student support services to the university community.
- Participate in recruitment activities.
- Manage external industry and institutional partnerships.
- Support the development of supply chain and additive/advanced manufacturing curricula, laboratory capability, and industry-sponsored applied projects, including the integration of AI/ML and agentic tools into coursework.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
