The Department of Computer Science and Engineering at New York University’s Polytechnic School of Engineering is inviting applications from highly qualified students for its PhD program in Computer Science.
We especially encourage students with interests in our main areas of research strengths: computer security and privacy, data analysis and data management, visualization and graphics, algorithms and complexity, and computer games and HCI. We are a growing department with about 60 PhD students working with 16 tenured and tenure track faculty members. Admission to the program is highly selective and usually comes with full financial support for admitted full-time students who lack other sources of support. For more information about the department, see: http://engineering.nyu.edu/academics/departments/computer
The NYU Polytechnic School of Engineering, launched in January 2014 and located in Downtown Brooklyn, is the most recent addition to New York University. Admitted PhD students will have to opportunity to work closely with our strong faculty and with other researchers across NYU, including at the recently launched Center for Urban Science and Progress (CUSP), the Center for Data Science (CDS), the NYU Media and Games Network (MAGNET), and our global campuses in Abu Dhabi and Shanghai. Our location in New York City also provides many opportunities to engage with local high-tech startups and industrial labs (including Google, Microsoft, Yahoo!, and Facebook), and to partake in the diverse cultural offerings across the city.
Please see http://engineering.nyu.edu/academics/programs/computer-science-phd for more information on the program and on how to apply. Although applicants are strongly encouraged to apply by the deadline of December 15, 2014, later applications may sometimes still be considered.
Successful applicants to the program are expected to have a BS or MS in Computer Science or a closely related field—such as Electrical Engineering, Mathematics, or Computer Engineering—and should have an outstanding academic record. Previous research experience and other technical accomplishments, as evidenced by publications, software, or letters of reference, are also important criteria for admission. Financial support, in the form of scholarships, research assistantships, and teaching assistantships, is usually available for admitted applicants.