The National Centre for Text Mining,, School of Computer Science, The University of Manchester, offers a PhD studentship in NLP funded by EPSRC, Industrial Cooperative Awards in Science and Technology in collaboration with Atypon.

The main aim is to carry out research into the construction of neural models for event extraction. Event representations capture information content in scientific publications by systematically linking entities with events mentioned in text. Going beyond existing work, in this project, event extraction will explore how to make use of semantic graphs which are incrementally built as a result of and which can also support event extraction. Semantic graphs are extremely important because they are required for natural language understanding. In order to improve the inference mechanism of techniques, the focus of the PhD will be on extracting events not only at sentence level but also across sentences, exploring various joint learning mechanisms. In addition, a number of weakly supervised approaches (using, e.g., distant supervision, incidental supervision) will be investigated to support event extraction.

Research environment

The National Centre for Text Mining is the first publicly-funded text mining centre in the world providing leadership in NLP-based text mining. It has been hosted by the School of Computer Science since 2004 and it is now a fully sustainable centre with 12+ research staff, carrying out novel research in several areas of NLP and text mining in collaboration with academia and industry.

PhD requirements: you should have a good first degree (minimum 2:1) in Computer Science; you should have an MSc in an area related to the topic, i.e. Natural Language Processing, AI, Text Mining. You should have experience in deep learning methods for NLP and excellent programming skills. You should have excellent English language skills and the ability to work in a team.

Student eligibility: the award is available to UK/EU applicants. Please refer to eligibility criteria here:

Funding amount: the studentship will cover Home/EU tuition fees and an annual stipend of £15,009 per annum.

Start date and duration: 1st September 2019 for 4 years.

The closing date of applications is 30th July. Interviews will be held during the first two weeks of August 2019.

How to apply:

Please apply through the University of Manchester, School of Computer Science mentioning EPSRC, CASE award-Atypon, also submitting your transcripts, certificates and a research statement (1 page).

PhD supervisor: Prof. Sophia Ananiadou

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