Job Opening for 1 x Research Associate on the Semantic Interpretation of Personal Health messages project
Department of Theoretical and Applied Linguistics, the University of Cambridge, UK
Full details: http://www.jobs.cam.ac.uk/job/11935/
Applications are invited for a post-doctoral Research Associate position in the University of Cambridge, working with Dr Nigel Collier on the Semantic Interpretation of Personal Health messages (SIPHS) project. The project is funded by the EPSRC and aims to develop high throughput natural language processing methods for automatically encoding social media messages using concepts of health interest.
Fixed-term: The funds for this post are available until early February 2020.
PROFILE
Applicants should have completed (or about to be awarded) a Ph.D. in a relevant field such as computational linguistics, information retrieval, artificial intelligence, machine learning, bioinformatics or computer science and be able to demonstrate an excellent track record of independent research and strong publications. Essential skills include: statistical natural language processing, machine learning (e.g. deep learning), excellent programming (e.g. Web-programming, scripting languages, R), as well as proven collaborative/communication/networking skills. Familiarity with biomedical ontologies will be an advantage. Previous experience with social media data is not necessary.
RESEARCH ENVIRONMENT
The RA will work with Nigel Collier and will be a member of the vibrant and highly research-active Language Technology Lab at the Department of Theoretical and Applied Linguistics ( http://ltl.mml.cam.ac.uk ) and the larger community of researchers who conduct cutting-edge research into NLP and human language technologies within the University of Cambridge ( http://www.languagesciences.cam.ac.uk/directory/research%20themes/langua... ).
APPLICATION
Applications should be made following the instructions at http://www.jobs.cam.ac.uk/job/11935/
Informal enquiries can be made to Nigel Collier (nhc30 at cam.ac.uk).
Interviews are likely to be held in mid December.