PHD STUDENTSHIP IN NATURAL LANGUAGE PROCESSING

Natural Language Processing Group at the University of Edinburgh,
School of Informatics

The School of Informatics at the University of Edinburgh invites
applications for a three-year PhD studentship starting in January
2018.  The studentship is associated with the IARPA project MATERIAL
(Machine Translation for English Retrieval of Information in Any
Language). The student will be supervised by Dr. Mirella Lapata, and
will work on a topic drawn from following research areas:

o deep learning models for summarization 

o query-focused summarization 

o cross-lingual summarization 

o unsupervised summarization methods 

The successful candidate will have a good honors degree or equivalent
in NLP, artificial intelligence, computer science, or a related
discipline. He/she will have strong programming skills and previous
experience in machine learning, deep learning, and/or natural language
processing.

The position is fully funded including stipend, tuition, travel, and
equipment for students of any nationality. To apply, please follow
the instructions at:

http://www.inf.ed.ac.uk/postgraduate/apply.html

As your research area, please select "Institute of Communicating and
Collaborative Systems". On the application form under "Research
Project", please state "MATERIAL Studentship". Once you
have submitted an application, please notify Dr. Mirella Lapata (mlap
at inf.ed.ac.uk).

Application deadline: November 17, 2017.

Applications received after the deadline may be considered, but this
cannot be guaranteed.