Doctor of Philosophy in Computer Science - Software Engineering

The Field of Computer Science is intended for students who are primarily interested in the general aspects of computational processes, both theoretical and practical. Areas of research in the field include algorithms, architecture, artificial intelligence, computer vision, computational biology, concurrency and distributed computing, database systems, machine learning, machine vision, natural language processing, networks, numerical analysis, programming environments, programming languages and methodology, robotics, and theory of computation. The Cornell Ph.D. program in computer science is consistently ranked among the top six departments in the country, with world-class research covering all of computer science. Our computer science program is distinguished by the excellence of the faculty, by a long tradition of pioneering research, and by the breadth of its Ph.D. program. Faculty and Ph.D. students are located both in Ithaca and in New York City at the Cornell Tech campus. The Field of Computer Science also includes faculty members from other departments (Electrical Engineering, Information Science, Applied Math, Mathematics, Operations Research and Industrial Engineering, Mechanical and Aerospace Engineering, Computational Biology, and Architecture) who can supervise a student's Ph.D. thesis research in computer science.

The software engineering group at Cornell is interested in all aspects of research for helping developers produce high quality software. Our research necessarily includes the development of new automated techniques and approaches for tackling some of the biggest problems that developers face today. We are interested in creating new tools, processes, and methods that are grounded in careful studies of developer needs. We are a young and growing group. Our current research strengths are in software testing, runtime verification, and making lightweight formal methods usable during everyday software development. For latest updates, visit the web pages of the faculty.

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