Closing Date: 12 Noon on 4th March 2016 or until filled
Post Status: 4 year PhD Studentship
Department: ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin
Benefits: Payment of tax – free stipend and full academic fees for EU students and partial fees for non-EU students
The Seshat Global Databank (http://seshatdatabank.info/) is collecting data on every human society throughout history and prehistory to better understand the dynamics of human social evolution. The ADAPT Centre has partnered with Seshat to provide the sophisticated Linked Data –based data curation infrastructure for semi-supervised data collection, refinement and publication. But we want to do more. There is increasing amounts of data published on the web that could be integrated into Seshat, especially structured data such as historical GIS. However there are a wide variety of information sources and standards, increasing data integration costs. This PhD will develop new methods and tools to make data integration more flexible and self-managing within the Seshat project. This post is part of the new ADAPT Centre and will work closely with the ADAPT and Seshat affiliated H2020 project ALIGNED (www.aligned-project.eu).
The successful candidate will have an excellent academic record (first class primary degree) in Computer Science or a related discipline. Experience in Knowledge Engineering is a distinct advantage.
Please apply via email to firstname.lastname@example.org and include:
a) Targeted cover letter (600-1000 words) expressing your suitability for a position
b) Complete CV