A PhD position is available within an industrially supported project. The
project seeks to develop deep learning methods for predictive analysis of
complex network data (e.g., social networks, trading networks etc),
focusing on statistical modelling of information exchange in transaction
networks. This is an on-going project with 2 PIs: Ivan Titov
and Max Welling

The student will be affiliated with the University of Amsterdam, but will
be mostly located at the University of Edinburgh, hosted by the Institute
of Language, Cognition and Computation (ILCC) <http://web.inf.ed.ac.uk/ilcc>
and Edinburgh NLP group <http://groups.inf.ed.ac.uk/edinburghnlp/people>.
ILCC is the largest lab focusing on NLP in Europe and one of the largest in
the world, with over 10 faculty doing research in this area. This PhD
vacancy will focus primarily on deep learning for natural language
processing (supervised by Ivan Titov)

We are exploiting data provided by an industrial partner. As information in
these networks mostly comes in a textual form, we are developing methods
for inducing predictive semantics representations of texts, relying both on
the text itself but also on the flow of information in the network.


University of Edinburgh



Educational level:

Master Degree

How to apply:

Please mention NLP People as a source when applying


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