Integrated Information Technology Assistant Professor

Assistant Professor In Integrated Information Technology The Molinaroli College of Engineering and Computing (MCEC) at the University of South Carolina in Columbia S.C is continuing to expand its tenured and tenure-track ranks. As part of this growth, the Department of Integrated Information Technology (IIT) invites applications for a dynamic tenure-track faculty member to begin Fall 2027 as a full-time Assistant Professor 9-month faculty member. Situated in Columbia S.C USC's Engineering and Technology Innovation Center, the Department of Integrated Information Technology (IIT) offers an ABET accredited undergraduate BS in Integrated Information Technology, a Master of Science in Information Technology (MSIT), a Master of Health Information Technology (MHIT), and a PhD in Informatics. The teaching load is attractive and appropriate for developing a robust research program, including the pursuit of research grants. Online as well as traditional classroom teaching, commitment to undergraduate research, and university and professional service will be expected. IIT seeks candidates with expertise at the intersection of applied information technology (IT) and operational technology (OT) — the systems that operate, instrument, and inform industrial and energy facilities. The searches are motivated in part by the university's proposed Nuclear Innovation Center, a major investment within the College's emerging Engineering District in Columbia, established in partnership with industry, government agencies, educational institutions, and other stakeholders. The searches are further motivated by the College's new undergraduate program in industrial engineering, which opens opportunities for collaboration between the IIT Department and the industrial engineering program. Areas of interest, all with an applied emphasis, include: AI for OT operations. Condition monitoring, diagnostics, and prognostics pipelines; predictive maintenance at plant scale; anomaly detection in operational data; machine learning and large language models applied to operational technology environments. AI/ML and human-computer interaction. Operator and engineer decision support; human-AI teaming and appropriate reliance on automated recommendations; interface design for control room and field environments; extended reality and simulation-based training for technical workforces; explainability and transparency of machine learning in safety-critical settings. Instrumentation, sensing, and edge systems. SCADA, DCS, and instrumentation and control systems; industrial IoT sensing and real-time data acquisition; edge computing and distributed processing at the plant boundary; hardware-in-the-loop and cyber-physical testbeds; qualification of digital instrumentation and control for safety-critical use. Industrial networks and communication systems. Industrial communication protocols and architectures (OPC UA, Modbus, PROFINET, IEC 61850); IT/OT convergence, segmentation, and plant network architecture; deterministic and time-sensitive networking; private 5G and industrial wireless; network observability and performance engineering in operational environments. Industrial data platforms and digital twin infrastructure. Historians and industrial data pipelines; data engineering and platform architecture supporting digital twins; information modeling and interoperability across heterogeneous plant systems; cloud-to-edge data management; data quality, lineage, and governance for operational data. Work addressing nuclear-related operational technology is especially welcome across all of these areas, including IT/OT applications in reactor instrumentation and control and in plant operations and maintenance, as well as IT/OT workforce development for nuclear energy facilities. Successful candidates will develop an externally funded, nationally visible research program; teach undergraduate and graduate courses in the department's information technology curriculum, including core coursework as well as new courses in the candidate's specialty; advise undergraduate, master's, and doctoral students; and contribute to departmental, college, and professional service. The candidate will have the opportunity to engage and collaborate with centers and laboratories within MCEC and across campus. The University of South Carolina is South Carolina's flagship university — a globally recognized, high-impact research university committed to a superior student experience and dedicated to innovation in learning, research, and community engagement. Founded in 1801, the university offers more than 300-degree programs and is a top-tier Carnegie Foundation research institution. With 60 nationally ranked academic programs including top-ranked programs in international business, the nation's best honors college and distinguished programs in engineering, law, medicine, public health and the arts, the university is helping to build healthier, more educated communities in South Carolina and around the world. The University of South Carolina does not discriminate in employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender, gender identity or expression, genetic information, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other protected category under applicable law.