2 RA positions in Bristol
Research Assistant in Machine Learning
University of Bristol -Department of Computer Science
Closing date: 05/09/2013
Salary: £30424 - £34223
Language: English (UK)
Job number: ACAD100440
Contract Type: Fixed-term contract staff
Work Hours: 35.0 Hours per Week
Job Type: Research and Teaching
Division / School: Merchant Venturers' School of Engineering
You will work with Professor Nello Cristianini and his team on an EU funded project concerning the composition of modular learning systems, which concerns the design, implementation, analysis and application of modular learning systems for the analysis of large datasets of media content. You will be able to carry out research involving the development of tools (conceptual, mathematical and computational) for the control of an adaptive and composite web agent. The developed tools will be integrated into the existing infrastructure. For both positions it is necessary to have a PhD or equivalent research experience in computer science or related areas. Knowledge of statistical machine learning methods, algorithms and concepts. For the first position you will have experience with handling large volumes of data using Map/Reduce technologies; experience with text searching technologies especially Lucene; excellent software engineering skills and programming experience with Java and databases Track record in applying theoretical results to develop real world systems; experience with text analysis; a track record of publication in text and web mining. For the second position, you will have software engineering skills and programming experience with Java and databases; experience in applying data mining techniques to analysis real data (eg media content); a track record in applying theoretical results to develop real world systems; experience with text analysis; capability to collaborate across disciplines; excellent communication skills.
These posts are funded for up to 12 months each, starting 1 October 2013 or as soon as possible after that, and terminating no later than end of 2014. Interviews will be held in the week of 16 September 2013.