Tenure-Track Faculty Positions in Computer Science

The Department of Computer Science at Duke University in Durham, North Carolina, invites applications and nominations for three tenure-track or tenured faculty positions and one additional joint position between Computer Science and another department. The areas of particular interest are:

  • Artificial Intelligence and Machine Learning
  • Computer Systems (broadly defined) and Security

Positions are available at all ranks and to begin July 2020.

Candidates are expected to have a doctoral degree in computer science or a related field. A successful candidate must have a solid disciplinary foundation and demonstrate the promise of outstanding scholarship in every regard, including research and teaching.

Duke is committed to further enhancing the diversity of its faculty and students.  We seek faculty members who are also committed to building a diverse and inclusive community, which fosters excellence in research and teaching. We strongly encourage applications from women and underrepresented minorities in computing. Please see www.cs.duke.edu and www.faculty.duke.edu for information about the Department and advantages that Duke offers to faculty.

Applicants should submit their materials (cover letter, curriculum vita, research statement, teaching statement, contacts for at least three references) electronically through AcademicJobsOnline: https://academicjobsonline.org/ajo/jobs/14705, and solicit letters of reference. For full consideration, applications and references should be received by December 15, 2019.

Durham, Chapel Hill, and the Research Triangle of North Carolina are frequently ranked among the best places in the country to live and work. Duke and the many other universities in the area offer a wealth of education and employment opportunities for spouses, partners, and families.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sex, sexual orientation, or veteran status.