Job Summary
The Department of Civil and Environmental Engineering at the University of South Carolina in Columbia is seeking qualified applicants for a tenured or tenure-track faculty position in digital twins for civil infrastructure. The position is open-rank, with a preference for candidates at the Associate or Full Professor level.
Applicants should possess a in civil engineering or a closely related field by the start date of employment. They should have a demonstrated record of research accomplishments and a strong capacity for teaching undergraduate and graduate courses. Applicants at the senior level must also have a record of sustained excellence in teaching and research, including competitive external funding and interdisciplinary collaboration.
Successful candidates will be expected to develop internationally recognized, externally funded research programs in the field of digital twins. While all candidates will be considered, areas of particular interest include physics-based surrogate modeling, uncertainty quantification, and multi-modal sensing, especially as applied to civil engineering systems. The successful candidate will complement and expand the colleges existing expertise in digital twins, which includes AI-based modeling, decision-making interfaces, sensing technologies, drone data collection, and model updating. Candidates will be expected to teach in the departments undergraduate and graduate programs and collaborate with researchers across the Molinaroli College of Engineering and Computing, including Electrical Engineering, Mechanical Engineering, the AI Institute, and the McNair Aerospace Center.
The University of South Carolina is designated as a high research activity university by the Carnegie Foundation. The Department of Civil and Environmental Engineering supports nationally competitive research and maintains state-of-the-art facilities in structural, geotechnical, water resources, environmental, transportation, and railway engineering.
Review of applications will begin in January and continue until the position is filled. Interested applicants should apply online at Required Education and Experience Applicants must possess a degree in civil engineering or a closely related field by the start date of employment, and a demonstrated record of research accomplishments. Applicants for the rank of Associate Professor and Full Professor must also have years of relevant academic experience commensurate with academic policy and a sustained record of excellence in teaching and research, including competitive funding and multidisciplinary collaborations.
Preferred Qualifications Successful candidates will be expected to develop internationally recognized, externally funded research programs in digital twins applied to civil infrastructure. Preferred areas of expertise include surrogate modeling, uncertainty quantification, and multi-modal sensing. A record of collaboration in multidisciplinary teams is desirable.
Posting Detail Information Desired Start Date 08/16/ Job Open Date 10/29/ Job Close Date Open Until Filled Yes Special Instructions to Applicant Review of applications will begin in January and continue until the position is filled. Interested applicants should apply online at
Positions are advertised for a minimum of forty-five business days on our job website. After forty-five business 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 EEO 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.
Supplemental Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
Required Documents - Cover Letter
- Curriculum Vitae
- List of References and Contact Information
- Teaching Statement
- Research Statement
Optional Documents