[Corpora-List] Senior RA post in Security Lancaster, Lancaster University, UK

Rayson, Paul p.rayson at lancaster.ac.uk
Thu Apr 21 17:13:26 CEST 2016


Senior Research Associate: Natural Language Processing for Detecting Online Mass-Market Frauds

https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1501

School of Computing and Communications Salary: 32,600 to 37,768 Closing Date: Tuesday 31 May 2016 Interview Date: To be confirmed Reference: A1501

This is a fixed term position within Lancaster University’s institution-wide research centre, Security Lancaster, which is one of the UK’s Academic Centres of Excellence in Cyber Security Research. You will join a major programme of work on detecting and preventing online mass-market fraud – to be undertaken in collaboration with the University of Leicester, University College London, University of Warwick and Cardiff University. The research is funded by the Engineering and Physical Sciences Research Council (EPSRC).

The Internet has opened up the floodgates to mass-market fraud given that criminals can use it to target many more potential victims with very limited marginal effort, to trick them into making electronic and even crypto-currency transfers for mistaken charity, investment or love. This crime can also have an impact on the digital economy, as citizens start to mistrust particular online sites that criminals use to target individuals (e.g., dating sites, social networking sites, trading sites). Banks and money transfer organisations have the problem of dealing with fraudulent transactions affecting not only their own trade but also the lives of their customers, to some extent irrespective of whether they were actually negligent or complicit: the attribution of blame by victims and by the media can reduce their social legitimacy.

You will conduct in depth research into the role of natural language processing (NLP) techniques in detecting the deception utilised during such online mass-market frauds. Specifically, you will develop novel NLP techniques to establish stylistic patterns of persuasive messaging and victim responses across scammer-victim communications. Working with project partners, you will also evaluate the limitations of existing methods for detecting such frauds and co-create/evaluate new methods being developed in the project. You will also participate in the development of an application to warn end-users about potential fraudulent communications.

You will join a thriving multi-disciplinary community of 100 researchers within Security Lancaster, tackling current and future challenges to the security and resilience of individuals, organisations, infrastructures and society-at-large. The Centre and the School of Computing and Communications (where you will be based) both offer a highly inclusive and stimulating environment for research career development. There is a strong expectation that you will actively contribute to the strong profile of the Centre and its inter-disciplinary ethos through participation in the development and publication of research results.

The post is available from the 1 July 2016 with an end date of 30 November 2018.

Informal enquiries should be addressed to Professor Awais Rashid, Director of Security Lancaster and Lead Investigator of the project at Lancaster, email: marash at comp.lancs.ac.uk or telephone +44 1524 510316.

Dr. Paul Rayson Director of UCREL and Reader in Natural Language Processing School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.lancaster.ac.uk/staff/rayson/ Tel: +44 1524 510357 Fax: +44 1524 510492 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6395 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20160421/7c9c5e84/attachment.txt>



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