Postdoc at Insight NUI Galway (formerly DERI)

The Insight Centre for Data Analytics at NUI Galway, Ireland is looking 
for an excellent post-doctoral researcher with a PhD in computer science 
to work with the Information Mining and Retrieval Group 
(http://uimr.insight-centre.org <http://uimr.insight-centre.org/>). The 
successful candidate will focus on research challenges in Linked-Data 
Analytics, Web-Mining, Web-Science, Graph/Network Analytics and 
  Databases, Event Detection, Machine Learning (in the context of 
Linked-Data and Graph Analytics), Adaptive Search and Recommender 
Systems; Some of the challenges currently being investigated are:

  * Novel approaches to
    Social Network Analysis and Graph Mining on heterogeneous networks to uncover dependent concepts, labels,

    latent relationships and for causality exploration
  * Scalable and interpretable user/group role analysis and modelling
  * Graph-based real-time recommendation approaches using Linked Data as a source of open background data
  * Spatio-temporal correlation analysis on changes to network structure
    to predict events, churn, community formation
  * Stream-computing models for mining massive heterogeneous graphs
    – for example graphs combining social and linked-data
  * Hybrid knowledge
    graph mining techniques combining statistical and logic, inductive and deductive approaches

You should have a PhD related to one of the above topics and have 
publications in top-ranked conferences/journals. The Insight Centre and 
the UIMR group provide a supportive open environment for creative 
thinking and making, collaboration and team work. Within the UIMR group, 
you will work within a team consisting of a senior researcher, several 
postdocs and 9 PhD and Masters students. You should have genuine 
interest in teamwork, collaboration and post-graduate student 
supervision and guidance; As part of this position, you may have the 
opportunity to contribute teaching to the MSc in Computer Science (Data 
Analytics)  at NUI Galway.

For more information and information on how to apply: http://goo.gl/zYHOkB

Received on Tuesday, 10 November 2015 14:14:01 UTC