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.
Johns Hopkins University is a private university located in Baltimore, Maryland. With its cultural heritage, rich history, and unique neighborhoods, Baltimore is a city with something to offer everyone. Visit this site to learn more about Baltimore.
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
Collaborators: Mark Dredze (firstname.lastname@example.org)
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 (email@example.com), 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 (firstname.lastname@example.org)
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
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.
Application instructions : Applicants should apply at: http://apply.interfolio.com/71300
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.
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
The successful candidate(s) for this position will be subject to a pre-employment background check.
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at email@example.com. For TTY users, call via Maryland Relay or dial 711.
The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.
During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
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