Integrated Information Technology Assistant Professor

State of South Carolina; Columbia (SC); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health and Life Insurance

Retirement Programs

Paid Tuition

Dependent Scholarships

Annual Leave

Sick Leave

13 Paid Holidays (including anextended

Job summary

University of South Carolina in Columbia seeks a tenure-track Assistant Professor in Integrated Information Technology to begin Fall 2027. This full-time, 9-month faculty role emphasizes building a visible research program and teaching undergraduate and graduate IT courses.

The candidate will advise students, pursue external funding, and collaborate with centers such as the AI Institute and Cyberinfrastructure Lab across campus, contributing to service and program development.

Qualifications

• Earned doctorate in information technology or closely related field.
• Ability to teach undergraduate and graduate courses.
• Demonstrated potential for excellence in teaching and research.

Responsibilities

• Develop an externally funded, nationally visible research program.
• Teach undergraduate and graduate courses in IT.
• Advise undergraduate, master’s, and doctoral students.
• Collaborate with centers across campus and engage in service.

Skills

Teaching

Research excellence

Graduate supervision

Education

Doctorate in information technology or related field

Job description

Integrated Information Technology Assistant Professor

Department: CEC Integrated Information Technology Part/Full Time: Full Time Advertised Salary Range: To commensurate with qualifications

About UofSC From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Advertised Job Summary 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) (https://cec.sc.edu/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 (https://tinyurl.com/m5jj82u2). The searches are further motivated by the College’s new undergraduate program in industrial engineering (https://tinyurl.com/ycera6w8), which opens opportunities for collaboration between the IIT Department and the industrial engineering program.

Areas of Interest 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. Outstanding applications from other IT areas are welcome to apply.

Responsibilities 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, including the Artificial Intelligence Institute (http://ai.sc.edu) — a comprehensive, interdisciplinary, and translational AI research institute spanning the university; the McNAIR Center (https://sc.edu/about/centers_institutes/mcnair/) — an industrial-scale center for advanced manufacturing, processing, and assembly of aerospace, communications, and automation components; the Cyberinfrastructure Lab (https://research.cec.sc.edu/cyberinfra) — an applied research lab for high-performance communications and cybersecurity; the Center for Industry Solutions (https://research.cec.sc.edu/c4is) — an industry-facing center delivering company-sponsored projects in smart manufacturing, digital engineering, and supply chain; and others.

Required Education and Experience

All applicants should hold an earned doctorate in information technology, information systems, computer science, industrial or systems engineering, or a closely related field by the start date of employment, with demonstrated potential for excellence in teaching and research with high scholarly impact. Applicants must be prepared to teach existing undergraduate and graduate courses in the department’s information technology curriculum and to develop new courses in their area of expertise.

Preferred Qualifications

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 University of South Carolina offers a valuable benefits package including but not limited to:

• Health and Life Insurance
• Retirement Programs
• Paid Tuition
• Dependent Scholarships
• Annual Leave
• Sick Leave
• 13 Paid Holidays (including an extended December holiday)
• Paid Parental Leave
• Professional Development Opportunities

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.

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.