Assistant Professor of Computer Science
Assistant Professor of Computer Science, USC Sumter.
The University of South Carolina Sumter invites applications for a full-time, tenure-track position to begin August 16, 2021. The position requires an earned doctorate in Computer Science by the beginning date of employment, including credentials necessary for departmental approval to teach introductory and upper-level courses as needed, as well as either a demonstrated commitment to or record of effective undergraduate teaching. The normal teaching load is twelve contact hours per semester. Applicants must also demonstrate a strong commitment to establishing and maintaining professional activity in scholarship and service, as well as to student advising, mentoring and participation on campus committees.
Review of applicants will begin December 2020 and will continue until the position is filled.
USC Sumter is part of USC’s Palmetto College (http://www.sc.edu/palmettocollege/), which offers four-year degrees through multiple forms of course delivery and learning, such as two-way video delivery (videoconferencing) and online learning (Blackboard or similar course management system).
The University of South Carolina requires individuals to apply online for all job vacancies. You may access the USC Jobs Online Employment site at https://uscjobs.sc.edu. As part of the online process, applicants must submit an application letter (to include description of teaching philosophy and approach to mentoring diverse individuals, summary of scholarship plans, as well as professional goals and interests), vita, three current letters of recommendation, copies of all undergraduate and graduate transcripts, and summaries of teaching evaluations or other evidence of excellence in teaching. If you have any questions about the position, please contact Dr. Kajal Ghoshroy, Division of Mathematics, Science, and Engineering at (803) 938-3899 or firstname.lastname@example.org. 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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