The Johns Hopkins Department of Computer Science invites talented students to apply to our PhD program. At Hopkins, you will become an inventor and a deep thinker as well as embrace an opportunity to impact the world with your ideas.
As the nation’s first research university, Johns Hopkins has a long history of deep and substantial engagement of graduates and undergraduates in research. Our students have revolutionized robotics surgery, changed the way astronomers study the galaxy, influenced the way big health care systems are run, and produced innovative, far-reaching software, from the 'ping' program to the natural language processing tools used in search engines around the world.
We are engaged in a period of substantial multi-year growth, with a new home for our community, Malone Hall, expected to open in Fall 2014. Our faculty is continuing to strengthen in both core computer science, including theoretical computer science and computer systems, and in novel interdisciplinary areas that draws on our institutional strengths. Prospective applicants can read more about us on the Department of Computer Science website.
Johns Hopkins is home to multiple world-renowned, interdisciplinary centers where faculty and students from across the university collaborate to tackle large and complex interdisciplinary problems. Core research areas include computer security, machine learning and data-intensive computing, speech and natural language processing, computational sensing and robotics, computational healthcare and medicine, and computer systems. We are located in Baltimore, Maryland.
The Johns Hopkins University Information Security Institute (JHUISI) is the university's focal point for research and education in information security, assurance, and privacy. Securing cyberspace and our national information infrastructure is more critical now than ever before, and it can be achieved only when the core technology, legal, and policy issues are adequately addressed.
Johns Hopkins University Information Security Institute (JHUISI) »
More than two dozen faculty from across Johns Hopkins develop methods for computing on big and complex data. Topics in machine learning include representation, learning and inference with applications ranging from speech, natural language, vision, robotics, astronomy and large-scale sensor networks. Through the Institute for Data Intensive Science and Engineering (IDIES), Hopkins is a world leader in data-intensive scientific computing for astrophysics, isotropic turbulence, computational genomics, and molecular dynamics.
Machine Learning at Johns Hopkins »
Data Intensive Science and Engineering »
The Johns Hopkins Center for Language and Speech Processing (CLSP) is an interdisciplinary research center focused on the science and technology of language and speech. In its field, CLSP is recognized as one of the largest and most influential academic research centers in the world. The center conducts research across a broad spectrum of fundamental and applied topics including acoustic processing, automatic speech recognition, big data, cognitive modeling, computational linguistics, information extraction, machine learning, machine translation, and text analysis.
Center for Language and Speech Processing (CLSP) »
The Laboratory for Computational Sensing and Robotics (LCSR) includes the NSF Engineering Research Center in Computer-Integrated Surgical Systems. LCSR serves as the principal locus for robotics research and covers domains from Computer Integrated Medicine to Human-Computer Interaction to Robotic Deep Sea Exploration.
Laboratory for Computational Sensing and Robotics (LCSR) »
Through collaborations with the Johns Hopkins University Schools of Medicine and Public Health, our faculty are developing quantitative approaches for understanding the mechanisms, diagnosis and treatment of human disease. In addition, by crunching through large population scale databases, we are learning about inefficiencies in the delivery of healthcare and opportunities for reducing waste. Our research discoveries have been licensed by hundreds of institutions nationally and internationally.
Institute for Computational Medicine »
Johns Hopkins Bloomberg School of Public Health »
Our systems faculty innovate on many areas of core computing systems, including Networking and Distributed Systems, Storage Systems and Databases, Sensor Networks, and Programming Languages. The systems and tools developed by these groups ranges from sensors deployed from rainforests to hospital emergency rooms, to highly resilient networks that transport cable-quality video streams across the globe, community scientific databases and novel scripting languages.
Centered in Baltimore, Maryland, the Johns Hopkins University encompasses a wide range of divisions throughout Maryland and Washington D.C., including the Peabody Institute, a leading professional school of music, the Applied Physics Laboratory, a research laboratory housing more than 3,500 staff, the Paul H. Nitze School of Advanced International Studies, as well as the aforementioned Schools of Medicine and Public Health. Baltimore provides easy access to the nation's capitol and nearby east coast locations such as New York, as well as a range of picturesque outdoor locations including the Chesapeake Bay, its coastal towns of Annapolis and Ocean City, and the Shenandoah Valley.