Tenure-Track Faculty Position in Computer Science Harvard University, Department of Electrical Engineering

The Harvard John A. Paulson School of Engineering and Applied Sciences seeks applicants for a position at the tenure-track level in Computer Science, with an expected start date of July 1, 2017.

We are accepting applications in all areas of Computer Science, especially machine learning and programming languages.

Computer Science at Harvard benefits from outstanding undergraduate and graduate students, world-leading faculty, an excellent location, significant industrial collaboration, and substantial support from the Harvard Paulson School. Information about Harvard’s current faculty, research, and educational programs in computer science is available at http://www.seas.harvard.edu/computer-science. The associated Institute for Applied Computational Science (http://iacs.seas.harvard.edu) fosters connections among computer science, applied math, data science, and various domain sciences at Harvard through its graduate programs and events.

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

We seek candidates who have a strong research record, and a commitment to undergraduate and graduate teaching and training.

Required application documents include a cover letter, CV, a statement of research interests, a teaching statement, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted. We encourage candidates to apply by December 1, 2016, but will continue to review applications until the position is filled. We encourage candidates to apply by December 1, 2016, but will continue to review applications until the position is filled.

Maddie Usupova

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.