Friday, October 18, 2019

[DMANET] 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
<http://www.cs.duke.edu/>and www.faculty.duke.edu
<http://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.


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