CLSP accepts a number of new PhD students each year and offers them full funding. Previous academic or industry experience in speech or language processing is a plus. However, we welcome all talented applicants, including those with skills in related areas such as machine learning, linguistics, mathematics, cognitive science, physics, or neuroscience. We also accept master’s students who are interested in the field.
Make sure to checkout our FAQ for PhD admissions. It contains great general advice for applying to JHU and elsewhere.
How to Apply
CLSP is a multi-disciplinary interest group of faculty and students who work together across department lines. Students ordinarily join by applying to one of the following departments:
The departments of Cognitive Science and Psychological and Brain Sciences are also an important part of the language research community here, and you may consider applying there as well if you are primarily interested in linguistics or human language processing. If you are interested in machine learning, see this page for additional options.
Johns Hopkins has an interdisciplinary culture where it is common to have coursework and advisors in multiple departments. Students must, however, must meet the requirements for admission and degree completion in their home department.
You may contact the center or individual faculty with questions. We will also talk to you at length if we are considering admitting you — either bringing you to campus for a 2-day visit, or interviewing you by Skype if you are not in the U.S.
CLSP is a nexus for research in the field, and offers an unusual array of opportunities to graduate students:
- Weekly visits from leaders across the field of speech and language
- A 2-week summer school
- Annual 6-week summer workshops, many of which have produced field-changing research
- The Center of Excellence in Human Language Technology, a federally funded center for research in speech and language processing
- A full curriculum of coursework in the language and speech areas
- Weekly reading groups in natural language processing, machine learning, computational approaches to meaning and translation, and speech processing and recognition
CLSP has one of the world’s largest collections of speech and language faculty, while enjoying a close-knit collaborative environment with low student-to-faculty ratio. CLSP research areas include:
- Speech processing: recognition, language modeling, biologically inspired speech perception, robust recognition
- Natural language processing: parsing, semantics, information extraction, morphology, phonology, sentiment
- Machine translation: syntax-based and phrase-based translation, lexicon induction
- Machine learning: semi-supervised learning, graphical models, Bayesian methods, large-scale learning, transfer learning
- Information retrieval: large scale retrieval, cross-language retrieval
- Statistics: computational statistics, statistical pattern recognition, statistical inference for high-dimensional and graph data, information theory