Research Associate in Large Scale Real-time Text Processing

University of Sheffield - Department of Computer Science

Contract Type: Fixed-term for 24 months

Faculty: Faculty of Engineering



The Department of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research. Much of our research spans the boundaries between engineering, medicine and the life sciences. Research in the Department is organised into a number of groups: Machine learning, Algorithms, Complex systems modelling, Natural language processing, Speech and hearing, Organisations, information and knowledge (OAK), Verification and testing, Visual computing, and Security of Advanced Systems. We attract substantial external funding from UK Research Councils, the European Union and industry. Our record for leadership in collaborative research is outstanding, particularly in European programmes. The Department is currently host to two ERC fellows and three EPSRC fellows. More information on the Department of Computer Science can be found at

We welcome applications for a Research Associate in Large Scale Real-time Text Processing in the area of large-scale real-time natural language processing. The main focus of the post-holder will be research on large-scale text analysis methods and their integration within the SoBigData and GATE Cloud software infrastructures, in line with the H2020 EU-funded SoBigData research infrastructure project. The post holder will also carry out innovative research on large-scale, real-time analysis of social media content, in line with the SoBigData project use cases on analysing societal debates, online rumours, and fake news. The successful candidate will be able to demonstrate knowledge and experience in using machine learning, graph modelling and visualisation methods, analysing social media data, and software engineering.

You will hold a PhD in Computer Science or a related area (or possess equivalent experience) with a solid research background.

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Northern England