FT Faculty – Information Systems Engineering Management (PhD and Master’s) Harrisburg, PA, US Please consider being in a commutable distance to Harrisburg, PA. This role requires on-site teaching. About ISEM at Harrisburg University: 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. Position Summary: We have an opening for a full-time faculty position in ISEM with a
specialization in supply chain operations and logistics and/or manufacturing . The successful candidate will bring an excellent academic background together with corporate or industrial experience and will be equally comfortable teaching foundational and advanced AI/ML courses as they are teaching supply chain or manufacturing systems courses. Candidates must be able to introduce students to the major AI/ML model
families and show how to apply them — on their own and in conjunction with LLMs and agentic workflows — to real operational and engineering problems. The candidate will teach at both the master’s and PhD levels and is expected to sustain a high-quality, externally visible research agenda. We are looking for demonstrated depth across some of the following areas: Supply Chain Operations, Logistics,
Summary from the source posting. Always confirm details on the institution's official career page.