Brief project description: This project will focus on the design of novel machine learning based methods for use in Natural Language Processing with application to Information Extraction.
Duration: The PhD studentship is for 3 years starting from 1 October, 2018
Accurate computational methods for Natural Language Processing are essential for Information Extraction and Knowledge Discovery in various language domains. Our goal is to improve the accuracy of these approaches by exploring the fusion of lexical information from text with other modalities such as knowledge graphs and images. The project will explore a variety of language domains and demonstrate usefulness to Information Extraction, e.g. through state of the art on standard benchmark data sets. The project will be coordinated by two supervisors with expertise in Natural Language Processing and knowledge representation (Dr Nigel Collier and Dr Dimitri Kartsaklis, University of Cambridge). The student will be a member of the vibrant and highly research-active Language Technology Lab (http://ltl.mml.cam.ac.uk) in the Section of Theoretical and Applied Linguistics and the large community of NLP researchers in the University of Cambridge.
The successful applicant will have a good Master's degree (equivalent of first-class distinction) in computational linguistics, artificial intelligence, computer science, or a related discipline, completed by 30 September 2018. He/she will have strong programming skills and previous experience in both NLP and machine learning. Previous experience with deep learning and/or joint learning and inference may be considered an advantage.
Eligibility: DTP studentships are currently open to UK/EU citizens. To be eligible for a full award (stipend and fees) applicants must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship (with some further constraint regarding residence for education). Students from EU countries other than the UK are generally eligible for a fees-only award.
Please check your eligibility for an EPSRC studentship before applying. https://epsrc.ukri.org/skills/students/help/eligibility/
How to apply: All DTP applicants follow the University's standard admission process. Please go to our Graduate Admissions Portal to find out more, and to start your application. http://www.graduate.study.cam.ac.uk/applying
Fixed-term: The funds for this post are available for 3 years in the first instance.
Expressions of interest should be addressed to Dr Nigel Collier, firstname.lastname@example.org
Please quote reference GP15677 on your application and in any correspondence about this vacancy.
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