This position is part of a project entitled 'Learning to Reason by Exploiting Grounded Text Collections', headed by Ivan Titov<http://people.mmci.uni-saarland.de/~titov/>. The project is supported by a Google focused research award<http://googleresearch.blogspot.com/2013/07/natural-language-understanding-focused.html>and the University of Amsterdam, and close collaboration with Google is anticipated. Initial funding is for three years, and further funding for a fourth year is expected.
The principle goal of the project is to model semantic content of a document specifically to draw inferences about the entities and their relations, explicit or implied, in the text (as needed for question answering or other applications requiring text comprehension). This will be accomplished by learning latent semantic representations, in part, relying on text collections with entities linked to existing knowledge bases such as Freebase, but also on other types of supervision. See recent related work on inducing semantic representations<http://people.mmci.uni-saarland.de/~titov/topics/semantics.html>by Ivan Titov and the description of the natural language understanding program<http://googleresearch.blogspot.com/2013/07/natural-language-understanding-focused.html>on the Google research blog.
The University of Amsterdam provides an excellent environment for research in these areas with world-class faculty in the fields of statistical NLP (incl. Rens Bod, Raquel Fernandez, Christof Monz, Khalil Sima’an, Willem Zuidema), machine learning (e.g., Max Welling) and text mining / IR (e.g., Maarten de Rijke).
Starting date: 1 October 2013 (earlier and later starting dates are negotiable).
The PhD candidate should have:
- - a Master's degree with excellent grades in a relevant field, such as
computer science, applied mathematics or computational linguistics (may not
be completed yet);
- - background in machine learning and/or natural language processing
(desirable), familiarity with nonparametric Bayesian methods is a plus;
- - strong programming skills;
- - good academic writing and presentation skills, and fluency in
English;
- - good social and organizational skills.
The applications should include:
- - a curriculum vitae;
- - a letter of motivation (at most 1 page) explaining why you are
interested in this position;
- - a research statement (at most 2 pages), explaining your research
interests and how you think they can be related to the topic mentioned in
the Job Description above;
- - a list of all university courses taken, including a transcript of
grades;
- - a short summary of your Master thesis (at most 2 pages);
- - the name and contact details (including email address) of two –
three referees who can provide details about your profile (one of whom
should be the main supervisor of your Master thesis).
Completed applications should be sent by *15 July 2013* to application-science at uva.nl, stating your name and vacancy number in the subject field with a copy (CC) to Ivan Titov <titov at uva.nl> (titov at uva.nl).
The committee does not guarantee that late or incomplete applications will be considered.
See the formal announcement<http://www.uva.nl/over-de-uva/werken-bij-de-uva/vacatures/item/13-212.html>for details. For further information about the vacancy please contact Ivan Titov (titov at uva.nl). -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 8247 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20130703/e02933d4/attachment.txt>