University of South Carolina Upstate — Assistant Professor of Computer Science

Assistant Professor of Computer Science


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 Division of Mathematics and Computer Science at the University of South Carolina Upstate invites applicants to apply for a tenure-track Assistant Professor of Computer Science position with a start date of August 16, 2023. The Division seeks candidates whose expertise will extend and complement existing strengths, but candidates with expertise in cybersecurity, network security, computer security, software engineering, cloud computing, mobile computing, or E-business are strongly encouraged to apply. The division offers degrees in Computer Science, Computer Information Systems, and Cybersecurity. The Computer Science program is accredited by CAC of ABET. USC Upstate has various internal grant opportunities to fund faculty and student research projects. A strong commitment to excellence in undergraduate teaching and advising, along with scholarly activity and service, is expected.

Minimum Qualifications: Ph.D. in Computer Science or closely related field (ABD candidates with planned completion dates by August 15, 2023 for an August 16, 2023, start date are encouraged to apply), a commitment to excellence in teaching and strong research potential. Excellent communication skills are required. A successful background check is required.

For a complete job description and to apply, go to

Contact: Dr. AKM Jahangir Majumder
Division of Math and Computer Science
University of South Carolina
800 University Way, Spartanburg, SC, 29303
Phone: 864-503-5206

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.