Research Associate at University of Cambridge

University of Cambridge is pleased to invite applicants to apply for a Postdoc position. This fellowship is available for all students around the world. The deadline for applying is October 01, 2018.

Fixed-term: The funds for this post are available until February 2020 in the first instance.

Applications are invited for one 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 public health interest.

Responsibilities of the successful candidate include but are not limited to research into innovative semantic techniques that address the challenge of understanding public health language in social media text. 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.

For further information about the project, see:

The project will involve collaboration with University College London, Public Health England, the European Bioinformatics Institute, the University of Utah, Linguamatics and the CORDS network and take place in the Computational Linguistics Research Cluster at DTAL: 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.

Candidates will 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: excellent programming (e.g. Web-programming, scripting languages, R), statistical natural language processing techniques, machine learning (e.g. deep learning), 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.

Applicants must provide the names and contact details of two referees who are familiar with your work in the relevant field whom we can contact for a reference once the vacancy has closed.

The closing date is midnight (BST) on Monday 1st October 2018. Interviews will be held during early October 2018, subject to confirmation. The post is intended to start as soon as possible.

Informal enquiries may be made to Nigel Collier (

For questions of procedure, please contact Ruth Farley, HR Administrator, on or 01223 332886. Please quote the vacancy reference GN16534 in all correspondence.

In order for your application to be considered, please upload a covering letter, a detailed curriculum vitae, a list of publications (if not included in your CV) and one sample of a recent publication.


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