Research Associate position University of Cambridge PheneBank project

From the corpora list

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We are inviting applications for a 33 month Research Associate position in the University of Cambridge, working with Nigel Collier (PI) on the PheneBank project. The deadline for applications is the 2nd August 2015 with the successful candidate expected to start at the end of September/early October 2015.

The project is funded by the UK’s Medical Research Council (MRC) and aims to develop natural language processing techniques for learning to recognize and encode biomedical concepts (i.e. phenotypes, diseases and genes) and their relationships in the scientific literature.

Responsibilities of the successful candidate include but are not limited to research into innovative machine learning and text/data mining techniques that address the challenge of understanding phenotypes and their relationships in the free text literature. The project will also require the post holder to take part in system architecture design and implementation, performance evaluation, paper/proposal/document/report writing and presentation of research findings.

The project will involve close collaboration with colleagues at the Wellcome Trust Sanger Institute, Charité – Universitätsmedizin Berlin, the European Bioinformatics Institute, the University of Colorado and within the University of Cambridge. The project will take place in the Language Technology Lab at the Department of Theoretical and Applied Linguistics: http://ltl.mml.cam.ac.uk/ and the larger community of NLP researchers within the University of Cambridge. This arrangement provides an excellent environment for research and career development, as the post holder will benefit from the expertise of both NLP and domain partners in this multidisciplinary project.

For further information including application details please see: http://www.jobs.cam.ac.uk/job/7346/


Nigel Collier
Principal Research Associate
Department of Theoretical and Applied Linguistics
University of Cambridge, UK
http://www.mml.cam.ac.uk/nhc30