Assistant or Associate Professor of Computer Science (Cybersecurity)

University of South Carolina Upstate


Assistant or Associate Professor of Computer Science (Cybersecurity)

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The University of South Carolina Upstate is a positive, diverse, and empowering institution for motivated, success-minded students who want to be challenged academically, supported personally, and pushed to the boundaries of their potential in an opportunity-rich environment. Because the University of South Carolina Upstate is proud of its student body, we seek to attract a diverse applicant pool.

The Department of Mathematics and Computer Science at the University of South Carolina Upstate invites applications for a 9-month tenure-track Assistant or Associate Professor of Computer Science with a start date of August 16, 2025. The department welcomes applicants whose expertise will extend and complement existing strengths, but candidates with expertise in cybersecurity, network security, computer security, artificial intelligence with an emphasis in cybersecurity, cybersecurity software development, and digital forensics are strongly encouraged to apply. A strong commitment to excellence in undergraduate teaching and advising, along with scholarly activity and service will be expected.

Minimum Qualifications: Ph.D. in Computer Science, Cybersecurity, Computer Security or a closely related field is required by the start date of the appointment. ABD candidates with a planned completion date by August 15, 2025, are welcome to apply. A commitment to excellence in teaching and strong research potential is required.

For a complete job description and to apply, go to https://uscjobs.sc.edu/postings/176016.

Contact: Dr. Wei Zhong
Department of Mathematics and Computer Science
University of South Carolina Upstate
800 University Way, Spartanburg, SC 29303
Email: WZHONG@uscupstate.edu
Phone: (864) 503-5785

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.

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