Research Fellow in text mining infrastructures

Applications are invited for one research fellow position in text mining infrastructures at the National Centre for Text Mining, School of Computer Science, University of Manchester.

The Research Fellow will be associated with the newly funded H2020-EINFRA project, Open Mining Infrastructure for Text and Data (OpenMinTed), to conduct novel research in text mining infrastructures in collaboration with leading text mining teams across several European centres. The candidate will moreover collaborate closely on use cases with the EMBL-EBI (ChEBI) and the Human Brain Project at the École Polytechnique Fédérale de Lausanne (EPFL). The Research Fellow will develop interoperable text mining infrastructure specifications, design the architecture of text mining platforms, develop and integrate text mining tools for the project’s use cases with other text mining experts.Candidates will join the National Centre for Text Mining (http://www.nactem.ac.uk/) which has been a leading centre for text mining since 2005, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems.
The centre is located in the Manchester Institute of Biotechnology http://www.mib.ac.uk and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the “best environment in the UK for computer science and informatics research”.

Further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9727

Company:

University of Manchester

Qualifications:

Candidates should have a PhD or equivalent in Computer Science with emphasis in Software Engineering and Text Mining, excellent programming skills and proven track record of service development, infrastructures and publications in high quality journals and conferences.

Specific requirements:

Duration of post: available from 1st June 2015 for 36 months

Educational level:

Ph. D.