|The Department of Computer Science at Duke University in Durham, North Carolina, invites applications and nominations for tenure-track faculty positions to begin July 2017. We encourage strong applications in all areas and at all levels of seniority. In this search, we are particularly interested in the areas of machine learning, natural language processing, optimization, and/or interdisciplinary work that relates to the social sciences (including economics), physical sciences (including quantum physics), and/or biological sciences (including genetics).
The department is committed to increasing the diversity of its faculty, and we strongly encourage applications from women and minority candidates.
A successful candidate must have a solid disciplinary foundation and demonstrate promise of outstanding scholarship in every respect, including research and teaching. Please refer to http://www.cs.duke.edu for information about the department and to http://provost.duke.edu/faculty-resources/ for information about the advantages that Duke offers to faculty.
Applications should be submitted online only through AcademicJobsOnline. A Ph.D. in computer science or a related area is required. To guarantee full consideration, applications and letters of reference should be received by December 15, 2016, though we will continue to consider applications submitted after this date.
Durham, Chapel Hill, and the Research Triangle of North Carolina are vibrant, diverse and thriving communities, 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 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 identity, national origin, race, religion, sexual orientation or veteran status.|
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 identity, gender expression, national origin, race, religion, sexual orientation, or veteran status.