The Natural Language Processing Group at Sheffield University has a funded PhD studentship available on the topic of "Information Extraction from Documents in the Life Sciences".
This studentship is an opportunity to work in a vibrant research area and carry out research on a topic with important applications. The studentship will focus on extracting important information from biomedical journal articles using machine learning techniques. It is expected to be closely associated with work being carried out within an EPSRC-funded project on Language Processing for Literature Based Discovery in Biomedicine. The student will benefit from the expertise that is available from researchers working on this project, including clinical researchers working in Oncology and Neuroscience.
The student will become a member of Sheffield University's Natural Language Processing group and will be supervised by Mark Stevenson and Robert Gaizauskas.
The studentship is funded by the Department of Computer Science and will cover fees for a "home" student in addition to providing living expenses. (Details about which applicants qualify for "home" fees can be found here.)
Candidates must have a good first degree in Computer Science, or closely related subject, and have excellent programming skills. Some prior experience of natural language processing is essential. Previous exposure to Information Extraction or biomedical text processing would be a distinct advantage, as is any previous experience of carrying out research.
Applications should include a CV, the names and addresses of two potential referees and a statement detailing the reasons why the applicant is interested in carrying out research in Natural Language Processing.
Applications or queries should be sent to Mark Stevenson. There is no closing date for applications, it will remain open until filled.