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Research Fellow (104396-1021)
Fixed-term post for 24 months with a possibility to extend for a further 12 months.
Applications are invited for a Research Fellow position on the UKRI-funded Turing AI Fellowship project ‘Event-Centric Framework for Natural Language Understanding’ led by Prof. Yulan He. The 5-year project aims to develop a knowledge-aware and event-centric framework for natural language understanding, in which event graphs are built as reading progresses; event representations are learned with the incorporation of background knowledge; implicit knowledge is derived by performing reasoning over event graphs; and the comprehension model is developed with built-in interpretability and robustness against adversarial attacks.
There will be three research fellows appointed in different stages of the project. For this post, the successful candidate will primarily focus on event hypergraph representation learning and knowledge-aware Question-Answering. They will work closely with various industrial partners including AstraZeneca, Google and Actable AI. They will also join the wider network of Turing AI fellows and the Alan Turing Institute, the national AI and Data Science institute in the UK. There will be opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers.
Candidates should hold a PhD degree in Computer Science or other relevant discipline. The successful candidate will possess skills in natural language processing and deep learning. Experience of knowledge graph, graph neural networks and/or biomedical QA would be beneficial.
If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£30,497). Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on level 6 of the University grade structure (up to £40,927 pa).
The starting date will be as soon as possible after the interview.
Informal enquiries should be addressed to Professor Yulan He at Yulan.He@warwick.ac.uk.
Interview Date: TBC.
DUTIES & RESPONSIBILITIES
Research and scholarship
• Researching, designing, implementing and testing advanced algorithms for natural language processing.
• Evaluating the new algorithms on real-world data.
• Write up research work for publication.
• Translate knowledge of advances in the subject area into research activity.
• May contribute to preparing proposals and applications to external bodies, e.g. for funding and contractual purposes, to support a developing research agenda.
• May present information on research progress and outcomes to bodies supervising research, e.g. steering groups.
• May contribute to the preparation of papers for steering groups and other bodies.
• Communicate complex information (orally and in writing) and material of a specialist or highly technical nature.
• Continually update own knowledge and understanding in field or specialism.
Teaching and Learning Support
• Could be expected to contribute to the teaching and learning programmes in the department.
• Assist in the supervision of student projects and the development of student research skills.
• May be involved in the assessment of student knowledge and supervision of projects.
Administration and Other Activities
• May be required to attend departmental meetings and to participate (where necessary) in other committees and working groups within the department, the faculty and the University.
• Ensure compliance with health and safety in all aspects of work.
• Work within budget constraints.