Engineering Assistant or Associate Professor - Tenure Track at InsideHigherEd

Logo:Posting Number:FAC00266PO25Advertised Title:Engineering Assistant or Associate Professor - Tenure TrackCampus:ColumbiaCollege/Division:College of Engineering and ComputingDepartment:CEC Integrated Information TechnologyAdvertised Salary Range:Commensurate with qualificationsPart/Full Time:Full TimeHours per Week:37.5Position Category:Full-time Equivalent (FTE)Basis :9 monthsWork County:RichlandTenure Information:Tenure-Track/TenuredJob Search Category:FacultyAbout University of South Carolina: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.Veterans' Preference Statement:The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities.Advertised Job Summary:Assistant or Associate Professor, Tenure Track Faculty Position in Information Technology with Specialization in SW/HW Accelerators, Networks, SecurityThe Molinaroli College of Engineering and Computing (MCEC) at the University of South Carolina 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 tenured or tenure-track faculty member to begin Fall 2026. Applicants at all ranks are encouraged to apply. We seek candidates with expertise in networking, cybersecurity, software and hardware accelerators such Data Plane Development Kit (DPDK), eBPF, SmartNICs, P4 programmable switches, and GPUs.Situated in USC’s Engineering and Technology Innovation Center, the IIT Department (https://cec.sc.edu/iit) offers an ABET accredited undergraduate BS in Integrated Information Technology, a Master of Science in Information Technology, a Master of Health Information Technology (MHIT), and a PhD in Informatics. IIT faculty at the Cyberinfrastructure Lab (https://research.cec.sc.edu/cyberinfra/) are actively involved in applied research, and collaborate extensively with communities such as FABRIC and research and education networks (RENs). The teaching load is attractive and appropriate for developing a robust research program. Online as well as traditional classroom teaching, commitment to undergraduate research, and university and professional service will be expected.Successful candidates are expected to develop and sustain an internationally recognized, externally funded research program that: (1) broaden the institution’s strengths, (2) leverage exceptional interdisciplinary collaboration opportunities, and (3) align with vital college-level, priorities and cross-cutting research themes. Scholars in interdisciplinary research at the intersection of networks, security, and operational Technology (OT) may have an option for affiliation with the McNAIR Center (https://sc.edu/about/centers_institutes/mcnair/) — industrial-scale center for manufacturing, processing, and assembling components for aerospace, communications, and automation. The candidate will have expertise in at least two of the following areas applied to networks and security:Offloading techniques for deep packet inspectionSmartNICsProgrammable switches and P4 applications to high-speed networks and securityDomain-specific accelerators, e.g., GPUs, tensor cores, dynamic programming instructions (DPX)Software accelerators, e.g., DPDK, eBPFSystem security and Software Bill of Materials (SBOM)AI/MLAccelerated anomaly detection on IoT / IIoT and industrial controlMemory forensicsReal-time network traffic analyticsQualifications. All applicants must hold an earned doctorate in computer science, computer engineering, information technology, or related computing discipline, with demonstrated potential for excellence in teaching and research with high scholarly impact. Applicants for the rank of Associate must have years of academic and/or relevant industry experience consistent with academic policy. Application. Review of applications will continue until this position is filled. The expected start date is August 2026. Interested applicants will apply via https://uscjobs.sc.edu/postings/199394 with: (1) a letter of interest, (2) curriculum vitae, (3) a concise description of research plans, (4) a teaching plan, and (5) names and contact information of three references. Questions may be directed to: Dr. Jorge Crichigno, [email protected] USCThe University of South Carolina is 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. More than 50,000 students are enrolled across 20 locations throughout the state, including the research campus in Columbia. 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.Required Education and Experience:All applicants must hold an earned doctorate in computer science, computer engineering, information technology, or related computing discipline, with demonstrated potential for excellence in teaching and research with high scholarly impact. Applicants for the rank of Associate or full Professor must have years of academic and/or relevant industry experience consistent with academic policy.Preferred Qualifications:The candidate will have expertise in at least two of the following areas applied to networks and security:Offloading techniques for deep packet inspectionSmartNICsProgrammable switches and P4 applications to high-speed networks and securityDomain-specific accelerators, e.g., GPUs, tensor cores, dynamic programming instructions (DPX)Software accelerators, e.g., DPDK, eBPFSystem security and Software Bill of Materials (SBOM)AI/MLAccelerated anomaly detection on IoT / IIoT and industrial controlMemory forensicsReal-time network traffic analyticsDesired Start Date:08/16/2026Job Open Date:12/08/2025Open Until Filled:YesSpecial Instructions to Applicant:Interested applicants will apply via https://uscjobs.sc.edu/postings/199394with: (1) a letter of interest, (2) curriculum vitae, (3) a concise description of research plans, (4) a teaching plan, and (5) names and contact information of three references. Questions may be directed to: Dr. Jorge Crichigno, [email protected] are advertised for a minimum of forty-five (45) days on our job website. After five (45) days, positions can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.Quicklink for Posting:https://uscjobs.sc.edu/postings/199394EEO Statement:The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.