[Corpora] [Corpora-List] PhD position in NLP/ML at the University of Edinburgh

Shay Cohen scohen at cs.cmu.edu
Tue Nov 18 14:05:45 UTC 2014


The Institute for Language, Cognition and Computation at the University of
Edinburgh (School of Informatics) has an open PhD studentship position in
the area of natural language processing and machine learning.

The topic of research is the use of linear algebra and spectral methods for
predicting linguistic structure, especially through latent-variable
modeling or learning from incomplete data. Latent-variable modeling is a
common technique for improving the expressive power of natural language
processing models. The values of these latent variables are missing in the
data, and therefore need to be predicted. This project seeks to identify
key techniques, based on linear algebra and spectral methods, in order to
learn these models. (Latent-variable modeling can also be broadly construed
here, and refer to unsupervised learning as well.) The applications in NLP
can vary from syntax to semantics.

The desired qualifications include an undergraduate background in computer
science or mathematics (with the latter including some experience with
programming). There is a preference for candidates who have completed a
master's in one of these areas.

If interested, please apply through here: http://www.ilcc.inf.ed.ac.uk/study.
Deadline for applications is 12/12/2014.

For more information about the application process, please contact Shay
Cohen at scohen at inf.ed.ac.uk.

About the ILCC:

The Institute for Language, Cognition and Computation (ILCC) at the School
of Informatics in the University of Edinburgh is dedicated to the pursuit
of basic and applied research on computational approaches to language,
communication, and cognition.

Primary research areas include Spoken Language Processing, Natural Language
Processing and Computational Linguistics, Information Extraction, Retrieval
and Presentation, Dialogue and Multimodal Interaction, Computational
Theories of Human Cognition, and Educational and Assistive Technology.

For more information, see http://www.ilcc.inf.ed.ac.uk/.

Shay Cohen,
http://homepages.inf.ed.ac.uk/scohen
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