Applications are invited for a postdoctoral research associate to work with Dr Emine Yilmaz on the project "Adaptive User Modelling for Personalized Experience".
The project concerns the development of new models and algorithms to model scientific content in terms of topics/themes and develop novel user interest models based on user's content engagement activities. The goal is to build adaptive models which incorporate variations in user preferences to deliver personalized experiences in a range of possible practical applications.
The associate will be part of the UCL Web Science group in the Computer Science department based out of the Bloomsbury campus in central London. The Web Science group is affiliated with the MediaFutures/CSML groups at UCL with several close links to relevant industry (Microsoft, Google, BBC, Elsevier) alongside a vibrant academic environment fostering collaboration.
Application Close Date: 4 January 2015
Contact: If you have any queries regarding the vacancy or the application process, please contact Emine Yilmaz (emine.yilmaz@ucl.ac.uk)
Candidate Background:
The ideal candidate will have:
- a PhD (or will shortly be assessed for a PhD) in Computer Science or related areas with a strong background in Machine Learning and/or Information Retrieval
- experience in at least one of probabilistic graphical models, approximate inference, or bayesian nonparametrics is required (as demonstrated by a strong publication record)
- previous experience on personalization techniques and analysing large volumes of data is highly desirable
- experience on topic modelling and query log analysis is a big plusFurther details & application link can be found here
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