Research Fellow in Biomedical Text Mining

Closing date: 18/12/2016
Employment type: Fixed Term
Duration: 1st January 2017 to 31st December 2018
Salary:£39,324-£48,327 p.a.
Hours per week: full time

Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.

The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.

Research Environment

The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.

NaCTeM is located in the Manchester Institute of Biotechnology 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 project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
More information about the project:

Informal enquiries: Prof. Sophia Ananiadou (

Further Details and Application Form

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