This position will be central to CLSP’s new Certificate in Human Language Technology,
part of the master’s degree programs in Computer Science (CS) and the Electrical and
Computer Engineering (ECE). The successful candidate will be involved in new course
development, graduate teaching, graduate academic advising, supervising master’s
thesis projects, and managing various aspects of the Certificate program. Although this
is primarily a teaching position, there is also potential for research effort.

Successful candidates will join the faculty of CLSP, one of the largest and most visible
academic organizations in speech processing and NLP. For more than two decades,
CLSP has advanced the state of the art in research, hosted international research
teams (the annual JSALT workshops), and produced hundreds of PhD alumni. Our
graduates are found throughout most major information processing companies and in
government related research organizations.

The primary appointment will be in the academic department most appropriate for the
candidate within the Whiting School of Engineering, such as Electrical and Computer
Engineering, Computer Science or another appropriate department. Applicants for this
position must have a Ph.D. in Computer Science, Electrical and Computer Engineering
or a closely related field, commitment to teaching, and excellent communication skills.
Familiarity with some aspect of Human Language Technology or machine learning is
strongly preferred. The university has instituted a nontenure track career path for fulltime teaching faculty culminating in the rank of Teaching Professor.

Johns Hopkins is a private university known for its commitment to academic excellence
and research. CLSP, as well as the CS and ECE departments, are part of the Whiting
School of Engineering. We are located in Baltimore, MD in close proximity to
Washington, DC and Philadelphia, PA. See the center webpage
https://www.clsp.jhu.edu/ for additional information.

Applicants should apply online at http://apply.interfolio.com/47959. Salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a teaching statement and complete contact information for at least three references.

Applicants should apply by January 31, 2018 for full consideration, but applications
will be accepted until positions are filled. Questions should be directed to
clspsearch@clsp.jhu.edu.

Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.

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.

• Cross-lingual Information Retrieval
  Collaborators: Kevin Duh (kevinduh@cs.jhu.edu)
  We are interested in advancing the state-of-the-art in cross-lingual information retrieval by exploring novel approaches such as neural machine translation, cross-lingual representation learning, and joint translation/search models. We will address a very large and diverse set of world languages. The candidate will have the opportunity to work flexibly in both NLP and IR fields, and collaborate with a team of faculty and students at CLSP.
• Trend Detection in Social Media
  Collaborators: Mark Dredze (mdredze@cs.jhu.edu)
  Trends embedded in large streams of social media have been shown to
  capture important population information across a number of
  applications, including political polling, product sentiment, disaster
  response and public health. This project will investigate these and
  other applications by developing new machine learning and NLP
  algorithms for mining social media data.
• Social Media and Mental Health
  Collaborators: Mark Dredze (mdredze@cs.jhu.edu)
  Social media has been shown to contain signals regarding a users mental health.
  This information may be helpful in aiding therapy. This project methods for deriving
  information from social media to use in a therapeutic setting.
• 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.
• NLP and Machine Learning for Clinical Data Analysis
  We are seeking a candidate to work with The Johns Hopkins Center for Population Health IT (CPHIT) in the field of health informatics, computer science applied to health care and public health. The candidate will have the opportunity to work closely with health informatics, computer science, methodologies, public health and medical faculty undertaking a wide array of information science related projects focusing on the application of electronic health records, electronic health care administrative records, and consumer e-health/m-health data applied to the improvement of health care systems, public health agencies and programs that target the “population health” of communities and target consumer groups. We are seeking someone with a doctoral level degree and advanced training and/or experience in a data/information science discipline. Ideally, the candidate will have extensive experience working with digital health or health care data. Familiarity with the US health care system is preferred.
  Deadline: Applications will be accepted until the position is filled.
  Application instructions: Send CV and cover letter to Elyse Lasser.
  More Information: PDF

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

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.

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. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Application instructions: Applications consist of a CV, a statement of interest (research statement), and contact information for 3 recommenders who can supply letters on request. An optional cover letter may be included to express strong preference for specific projects.

Application deadline: Applications will be accepted on a rolling basis until all positions are filled.

Submit your application here: http://apply.interfolio.com/50712