The Center for Language and Speech Processing has an open search for an Assistant Research Professor in Machine Learning and Natural Language Processing:

https://apply.interfolio.com/62514

The Department of Computer Science has an open faculty search for 2019-2020. The search will consider all areas of computer science, including natural language processing.

https://www.cs.jhu.edu/about/employment-opportunities/

Additionally, the Mathematical Institute for Data Science (MINDS) has a search in the mathematical, statistical and computational foundations of machine learning.

https://www.minds.jhu.edu/job-openings/

The postdoc search is closed, but may be reopened in Spring 2021

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. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

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 (mdredze@cs.jhu.edu)
  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 (vandurme@cs.jhu.edu), 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 (mdredze@cs.jhu.edu)
  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.

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.

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: CLSP is not currently accepting applications. When CLSP does start accepting them again, 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. Candidates will also have to apply on Interfolio: https://apply.interfolio.com/71300

Application deadline: CLSP is not currently accepting applications.

Questions? clspadmin@jhu.edu