[Corpora-List] Job opportunity, Lancaster: RCUK Innovation Fellowship in Intelligent Language Processing for Understanding Financial Text

Hardie, Andrew a.hardie at lancaster.ac.uk
Thu Nov 30 07:39:54 CET 2017


CASS at Lancaster University, UK is currently recruiting to the research fellowship below – apologies for any cross posting! Please note the very close deadline. – best, Andrew.

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RCUK (UKRI) Innovation Fellow Closing Date: Friday 01 December 2017 Reference: A2112

https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2112

The ESRC Centre for Corpus Approaches to Social Science (CASS)<http://cass.lancs.ac.uk/> seeks candidates for appointment to a three-year RCUK Innovation Fellowship. The RCUK Innovation Fellowships scheme provides an opportunity for early career researchers to undertake major new innovation-oriented research aligned to the core themes, challenges and opportunities highlighted in the UK’s Industrial Strategy. The research theme of this fellowship is Intelligent Language Processing for Understanding Financial Text.

You will have a PhD in Computer Science, Linguistics, Accounting/Finance or a related area, an emerging track-record of conference presentations and publications, and experience in the in the use of computational and/or corpus-based methods in the study of language and texts. You will be part of an interdisciplinary team that includes academics from the ESRC Centre for Corpus Approaches to Social Science, the Department of Accounting and Finance, the Department of Linguistics and English Language, and the School of Computing and Communications. You will engage extensively with industrial and policymaking research user groups, including the primary impact partner of this Innovation Fellowship, financial auditing and professional services firm KPMG (London).

You will undertake research into the major challenge of applying AI (including methods of corpus linguistics and natural language processing) to the understanding of Financial Text, that is, large and varied collections of corporate communication documents. This work will involve developing relevant datasets of financial texts; developing and applying computer-aided (corpus-based and/or NLP) methods to the analysis of, and extraction of quantitative detail from, these texts, including such data mining techniques as text-reuse analysis, sentiment analysis, and data visualization. The results of your analyses will be disseminated as presentations and publications for academic audiences, and will feed into an extensive programme of Knowledge Exchange activities involving research user groups in industry and in public policy.

This position is a full-time research post for 36 months but the possibility of part-time work is available to applicants whose normal working hours are part time (please enquire if this applies to you). You must be an “early career researchers” as defined by the Economic and Social Research Council, i.e.: you should have a maximum of four years’ academic research experience following the submission of your PhD, or be of equivalent professional standing. (This period is measured between the initial submission date of your PhD thesis and September 2017. Career breaks are excluded from the four-year period, and periods of part-time academic employment can be calculated on a pro-rata basis.) The Innovation Fellowship has only limited start-date flexibility: you must be available to begin work on or before 31 January 2018 (as a condition of the RCUK Innovation Fellowship scheme). For further details please see the Lancaster University job vacancies website: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2112 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 9675 bytes Desc: not available URL: <https://www.uib.no/mailman/public/corpora/attachments/20171130/e5249f94/attachment.txt>



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