Assistant Professor in Software Engineering
Job location: College at Wise (Wise, VA)
Employment Type: Full-time
Posted data: 2021-04-22
Assistant professors are untenured faculty who are on the tenure track. The probationary period or tenure clock normally lasts five or six years for assistant professors recently graduated from doctorate programs, though recently hired professors with prior teaching or professional experience may have years in other positions credited as part of their probationary period. During probation, most assistant professors undergo a third-year or pre-tenure review, during which the university evaluates whether they have demonstrated adequate progress toward tenure to be awarded a second three-year pre-tenure contract or their contract will not be renewed.
The Math and Computer Science Department invites applications for a tenure-track faculty position in Software Engineering. The position is a full-time, 9-month appointment at the assistant professor level and with the potential for summer teaching and research support. Duties include creating and teaching courses in software engineering and related topics; serving the department and college on various committees; advising students; pursuing ongoing scholarly activity, particularly that involves undergraduates; and assisting the department chair with assessment and other duties as needed. In addition, as the only 4-year, public program in Software Engineering in Virginia and with expressed interest in software engineering graduates in the region and the Commonwealth of Virginia, the position opens the door for collaboration with industry and economic development officials.
Successful candidates must possess excellent verbal and written communication skills; should have the demonstrated ability for engaged and innovative teaching at the undergraduate level; must have a Ph.D. (ABD candidates will be considered but must have the Ph.D. completed by the date of appointment) in Computer Science, Software Engineering, or related degree, with at least 18 hours of graduate work in Software Engineering, and be eligible to work in the United States. Masters degree in Software Engineering a plus. Preference will be given to candidates who articulate a clear understanding of UVA Wise’s public liberal arts mission and with relevant industry experience, particularly those who have potential to build a pipeline for internships and job placements for students.
Interested applicants for any of these positions should apply online at jobs.virginia.edu and complete a candidate profile that includes: 1) application, 2) cover letter, 3) current CV, 4) letter describing your teaching philosophy, 5) contact information for three references and 6) unofficial transcripts. Review of applications will begin May 15, 2021, but will remain open until filled. Start date for all positions will be August 2021. Applicants must be eligible to work in the United States.
UVA Wise is committed to helping the campus community provide for their own safety and security. The Annual Security and Fire Safety Report containing information on campus security and personal safety, including alerts, fire safety, crime prevention tips, and crime statistics is available at www.uvawise.edu/ASR. A copy is available upon request by calling 276-328-0190 or 276-376-3451.
Education: Ph.D. or terminal degree. ABD may be accepted.
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.