This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project.
The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being: - a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and - a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms. The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs. Candidates will require a PhD in Natural Language Processing and work experience in related domains. The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry. The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations. Salary: £34,308 to £42,155 per annum depending on experience This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget Closing date: 14/03/2023 Contract Duration: Available For 30 Months From Start Date For further information and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24920 -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK Tel: 0161 306 3091 http://personalpages.manchester.ac.uk/staff/Paul.Thompson/
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