Faculty Positions in Computer Science, Virginia Tech

The Department of Computer Science at Virginia Tech is growing rapidly. Thanks to substantial multi-year investments from the Commonwealth of Virginia combined with significant infrastructure investments by Virginia Tech, we anticipate hiring multiple faculty members at all ranks and in all areas for the next several years. The majority of new positions will be at our main campus in Blacksburg, VA. We also seek outstanding candidates for our program in Northern Virginia, which is rapidly expanding due to Virginia Tech’s exciting new Innovation Campus in Alexandria, VA, where computer science academic and research programs will play a central role.

We seek candidates at all ranks and in all areas of computer science. The positions offer competitive packages and resources to enable success. Candidates with core research interests in AI/ML, computer systems, human-computer interaction, cybersecurity, blockchain systems, high-performance computing, computational science, and quantum computing are especially encouraged to apply. Successful candidates will have the opportunity to leverage the department’s highly-focused faculty development and mentoring program, as well as numerous successful collaborations with government, national labs, and industry partners.

Candidates for all positions must have a Ph.D. in computer science or a related field at the time of appointment and a rank-appropriate record of scholarship and collaboration in computing research. Successful candidates should give evidence of commitment to issues of diversity in the campus community. Virginia Tech is committed to building a culturally diverse faculty and strongly encourages applications from traditionally underrepresented communities. Tenured and tenure-track faculty will be expected to teach graduate and undergraduate courses, mentor graduate students, and develop a sustainable research group that is internationally recognized for excellence. The positions require occasional travel to professional meetings. Selected candidates must pass a criminal background check prior to employment.

The department currently has 52 faculty members, including 46 tenured or tenure-track faculty, 14 early career awardees, and numerous recipients of faculty awards from IBM, Intel, AMD, Microsoft, Google, Facebook, and others. CS faculty also provide leadership in several interdisciplinary research centers, such as the Center for Human-Computer Interaction and the Discovery Analytics Center. The department is home to approximately 1,000 undergraduate majors and 300 graduate students, with university commitments to grow all programs significantly. The department is in the College of Engineering, whose undergraduate program ranks 13th and graduate program ranks 31st among all U.S. engineering schools (USN&WR). Virginia Tech’s main campus is located in Blacksburg, VA, in a region consistently ranked among the country’s best places to live. Our growing program in Northern Virginia offers graduate education and research with one-of-a-kind proximity to government and industry partners.

Candidates with a clear campus preference (Blacksburg or Northern Virginia) should indicate this in their cover letter. Inquiries should be directed to Dr. Ali R. Butt, search committee chair, at facdev@cs.vt.edu.

Required Qualifications

  • An earned PhD in Computer Science or closely related field at the time of the appointment and a rank-appropriate record of scholarship and collaboration in computing research.
  • Record of significant research accomplishments (e.g. publications) and rank-appropriate record of professional service.
  • Ability to contribute to the department’s teaching mission.

Preferred Qualifications

  • Demonstrated interest in collaborative research in fields represented by department’s existing faculty or planned hiring.
  • Demonstrated ability and willingness to work collaboratively with faculty from a variety of disciplines.
  • Contributions to improving the diversity of the discipline and experience in working effectively with a diverse student population.
  • Recognition of research excellence as demonstrated by e.g. best paper or society awards.
  • Instructional experience in higher education.

Review of applications will commence on November 1, 2019.  For more information, or to apply online, go to http://careers.pageuppeople.com/968/cw/en-us/job/510994.