Applicants from all traditional as well as non-traditional and interdisciplinary areas of Computer Science and Engineering are urged to apply. See below for details:
Applicants are expected to:
- Possess a Ph.D. in computer science, computer engineering, or a closely-related field, by the beginning date of employment and a demonstrated record of research accomplishments.
- Demonstrate evidence of commitment to diversity, equity, and inclusion through research, teaching, and/or service efforts.
- Develop internationally-recognized, externally-funded research programs that:
- Complement existing departmental strengths
- Leverage exceptional interdisciplinary collaboration opportunities
- Align with vital cross-cutting research themes identified by the college, including smart & connected communities, transformative computing, healthcare transformations, and agile manufacturing
Dates & Details
Review of applications will begin on December 1, 2018 and continue until positions are filled.
Expected start date is August 16, 2019.
Interested applicants should apply online at:
- Letter of intent
- Curriculum vitae
- Concise description of research plans
- Teaching plan
- Names & contact information of 3-5 references.
The Department of Computer Science and Engineering offers B.S. degrees in Computer Science, Computer Information Systems, and Computer Engineering; M.S. and Ph.D. degrees in Computer Science and Computer Engineering; M.S. degrees in Software Engineering and Information Security; and a Graduate Certificate in Cyber Security Studies. The department has 23 full-time faculty members (10 of whom are NSF CAREER Award recipients), an undergraduate enrollment of 935 students, and a graduate enrollment of 161 students.
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, color, religion, national origin, sex, sexual orientation, gender, age, disability, protected veteran status or genetics.
Research areas of special interest include:
- Human in the loop or knowledge-enhanced AI, deep learning, natural language processing, question-answering/conversational AI, brain-inspired computing, semantic/cognitive/perceptual computing
- Big data, including social, sensor, biological and health and scalable computing/ analysis of big data
- Computer vision, robotics, and human computer interaction, including personal digital/assistive technology
- Cyber-physical systems and Internet of Things
- Software analysis and testing, adaptive and autonomous systems, and search-based software engineering
- Next-generation networking, cybersecurity, and privacy