Postdoc Research Associate in Accounting

Lancaster University - Accounting & Finance

You will work on an innovative research project involving the UK’s primary regulator of financial reporting and governance quality (the Financial Reporting Council (FRC), https://frc.org.uk/). The collaborative project will develop and apply computational linguistics tools to study the properties and economic consequences of financial narrative disclosures. The research will also seek to develop and embed an intuitive suite of textual analysis resources within the FRC’s ongoing monitoring and evaluation activities.

You will work as part of a multidisciplinary team spanning the fields of accounting, finance, natural language processing, and corpus linguistics. Continuous interaction with colleagues at the FRC will be a feature of the project, providing the RA with a unique opportunity to shape reporting practice at the same time as developing a portfolio of high quality academic papers targeted at top-tier journals. The research team includes internationally respected researchers in the fields of accounting (Professors Martin Walker and Steven Young) and computational linguistics (Dr Paul Rayson). The project leverages an on-going programme of work by the team (http://ucrel.lancs.ac.uk/cfie/index.php).

The two-year project will see you based in the Department of Accounting and Finance at Lancaster University Management School (LUMS). The main research duties include: contributing to the development of textual analysis resources for retrieving and processing narrative content from annual reports and earnings announcements; collecting and organizing financial market data from standard databases; undertaking rigorous econometric analysis; drafting working papers; and contributing to the dissemination of findings to academic and professional communities.

The preferred start date is January 2018 although flexibility exists. You will possess a PhD in accounting, finance or related discipline, expertise in econometric analysis and data management, and excellent writing skills. Prior experience in textual analysis is preferred but not essential, as is intermediate programming experience in python, java or similar language. Applicants from computer science with experience of working on financial data are also encouraged to apply.

This is a full time fixed term post.

For further information, please contact Professor Steven Young (s.young@lancaster.ac.uk).

We welcome applications from people in all diversity groups.

For further information and to apply online please click the apply button.

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