The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning.
CLSP is one of the world's largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.
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The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.
Social Media, Natural Language Processing and Public Health Collaborators: Mark Dredze (email@example.com) Social media has been show to contain valuable insights into the health of populations. Mark Dredze's research has explored applications of social media analysis to a wide range of public health domains. This project will investigate such applications by developing new machine learning and NLP algorithms for mining social media data.
Semantic Parsing / Event Recognition Collaborators: Benjamin Van Durme (firstname.lastname@example.org), Mark Dredze, Kyle Rawlins There are multiple ongoing efforts at JHU led by Benjamin Van Durme dealing with semantic parsing / event recognition from texts. Targets of extraction include sentences, documents, images, audio, video, in both English and other languages. Applicants to this position must have some familiarity with models for Neural Machine Translation, Information Extraction, and/or Semantic Parsing. Candidates must have a desire to assume a leadership role, and be comfortable working in groups.
Analysis of Clinical Medical Text Collaborators: Mark Dredze (email@example.com) Extracting information about patients from medical records can help improve treatments, and identify important trends in a patient population. Much of this information is contained within clinical texts. This project will investigate information extraction tools for the extraction of structured information from clinical free text.
Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation Collaborators: David Yarowsky, Jason Eisner, Sanjeev Khudanpur This project includes a wide range of problems in computational morphology and machine translation of over 800 low-resource languages. We will address a very large and diverse set of world languages using a broad spectrum of approaches, over large annotated and unannotated datasets of both text and speech. Computational linguists, formal morphologists and specialists in machine translation and machine learning of human language are all welcome.
Applicants must have a Ph.D. in a relevant discipline and a strong research record. Applicants are not required to be to US citizens or permanent residents.
Questions about specific projects should be directed to the contact information associated with the project.
Applications consist of a CV and contact information for 3 recommenders who can supply letters on request. You do not need to specify a specific project of interest.
Internal Number: A-71300-3
About Johns Hopkins University
Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.