Visiting Assistant Professor

Roanoke College invites applications for a visiting position in Computer Science, at the rank of Visiting Assistant Professor
, starting in August 2026. We seek a candidate with energetic vision, creative thought, and collaborative spirit. We are eager to expand our expertise into Applied Computer Science, cybersecurity, and large language models.

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  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

To learn more about our current offerings, visit https://(Use the "Apply for this Job" box below)..

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).

Apply Here

Roanoke College is a place where every student who works hard has the opportunity to succeed. We champion potential, providing essential learning and leadership through innovative academic programs and transformative educational experiences, giving students the mettle, mindset, and empathy to pursue lives of purpose, build meaningful careers, and meet society’s most pressing needs. Located in scenic Salem, Virginia, Roanoke College is an intimate, welcoming community that has served the local region and beyond for nearly 200 years.

Now, we’re building on momentum and offering a Roanoke experience for today’s students and a legacy that belongs to every Maroon. Learn about the College's new strategic plan, Imagine Roanoke: A Strategic Plan for Roanoke College and the 21st Century Learner.

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.

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.

• 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.