[Corpora-List] Post in Clinical Text Mining

Sophia Ananiadou Sophia.Ananiadou at manchester.ac.uk
Tue Sep 1 17:47:38 CEST 2015


Applications are invited for a senior research fellow in Clinical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.

The candidate will be joining a large team working in a newly created interdisciplinary research centre (Manchester Molecular Pathology Innovation Centre, MMPathIC) funded by MRC/EPSRC, focusing on personalised or stratified medicine, identifying, validating and evaluating biomarkers for improving patient outcomes. The objectives of this post are to conduct research into extracting complex information from the scientific literature and clinical case reports to facilitate the discovery of biomarkers using adaptive natural language processing and text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in NLP/TM, in particular adaptive information extraction at large scale; excellent knowledge in developing and adapting algorithms and software for text mining systems; experience in biomedical and clinical text mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., and in high quality journals; strong Java skills, knowledge of UIMA and RDF/SPARQL are highly desirable; proven ability to develop independent research proposals appropriate to clinical text mining.

Duration of post: 1st November 2015 for 48 months Salary: 38,511 to 42,067 per annum

Research Environment The National Centre for Text Mining (www.nactem.ac.uk<http://www.nactem.ac.uk/>) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (www.mib.ac.uk<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".

The Faculty of Medical and Human Sciences is a leading international centre for research and education in medicine with strong relationships with NHS partners and a key member of the Manchester Academic Health Science Centre. MMPathIC will draw on existing skills in biomarker discovery in Manchester, particularly within the context of the newly created 15M Stoller Biomarker Discovery Centre.

Informal enquiries can be made to Prof. Sophia Ananiadou (Sophia.ananiadou at manchester.ac.uk<mailto:Sophia.ananiadou at manchester.ac.uk>).

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=10314 Closing date: 1st October 2015.

---------- Professor Sophia Ananiadou, School of Computer Science, Director, National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street, M1 7DN www.nactem.ac.uk<http://www.nactem.ac.uk> sophia.ananiadou at manchester.ac.uk <mailto:Sophia.Ananiadou at manchester.ac.uk> http://www.nactem.ac.uk/staff/sophia.ananiadou/ tel: +44 (0)161 306 3092

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