Visiting Assistant Professor of Computer Science
Indexed description
Roanoke College is a nationally ranked residential liberal arts college affiliated with the Lutheran Church (ELCA), located in the beautiful Roanoke Valley of Virginia. A Phi Beta Kappa institution, Roanoke College is an equal opportunity employer and actively seeks diversity among its faculty, staff, and students; women and members of under-represented groups are especially encouraged to apply.
The Position
Faculty members serve multiple roles as teachers, mentors, colleagues, and scholars. Full-time faculty are expected not only to excel in classroom instruction but also to fulfill various responsibilities as active members of the college community.
Key Responsibilities
- Teach a standard full-time course load as defined by the college (may be a mix of undergraduate and graduate courses). The teaching load is 8 units, where lecture sections are one unit and lab sections range from 0.5 to 1 unit.
- Develop and deliver high-quality courses in the faculty member’s area(s) of expertise
- Use inclusive, effective, engaging, and current pedagogical practices
- Fairly assess student learning and provide timely feedback
- Assign grades and maintain course/student records in accordance with FERPA and college regulations and submit grades and records by established deadlines.
- Hold regular office hours to provide student support
- A Ph.D. in Computer Science or a closely-related field is preferred
- Master’s Degree or higher with relevant professional experience is required
- Evidence of potential for highly effective classroom teaching is required
- A successful candidate must have a strong interest in teaching a wide range of undergraduate computer science and data science courses in a liberal arts setting, in mentoring a variety of experiential learning opportunities, and in supporting efforts to expand the offerings in Computer Science and Data Science. Evidence of potential for highly effective classroom teaching is required.
A successful candidate must have a strong interest in teaching a wide range of undergraduate computer science and data science courses in a liberal arts setting, in mentoring a variety of experiential learning opportunities, and in supporting efforts to expand the offerings in Computer Science and Data Science. Evidence of potential for highly effective classroom teaching is required. The teaching load is 8 units, where lecture sections are one unit and lab sections range from 0.5 to 1 unit. The anticipated courses for the 2026-2027 academic year include
- CPSC 120 – Programming (lecture and lab)
- CPSC 250 – Data Structures and Algorithms (lecture and lab)
- CPSC 311 – Machine Learning
- CPSC 370 – Data Mining
- CPSC 450 – Theory of Computation
- DATA 170 – Exploring Data.
Applications will be reviewed on a rolling basis as they are received. For full consideration, all materials must be submitted by June 26. All completed applications received by that date will be given full consideration, and applications received after the deadline may still be considered. After the initial review of applicants, three reference letters will be requested (at least one must directly address teaching).
Questions about the Computer Science program may be addressed to Dr. Karin Saoub, Dean of the School of Health, Science, and Sustainability.
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