Postdoctoral Researcher in Natural Language Processing and Text Mining<http://ktp.innovateuk.org/> Department of Computer Science<https://www.edgehill.ac.uk/computerscience/>, Edge Hill University<https://www.edgehill.ac.uk/>, Ormskirk, UK
Location: Ormskirk Salary: £32,958 to £37,075 per annum, Fixed Term for up to 18 months initially Post Type: Full Time Closing Date: Sunday 20 August 2017 Reference: EHR0053-0717<https://jobs.edgehill.ac.uk/Vacancy.aspx?id=995&forced=2>
Join us in the pursuit of excellence.
You should have a PhD in the broad area of Computer Science with a focus in Natural Language Processing/Computational Linguistics/Text Mining. You must have strong programming skills and working experience in software development (Java/C++/Python or similar languages, SQL/NoSQL databases etc). A good knowledge of statistical and/or machine learning methods for NLP and a strong publication record in relevant conferences/journals are highly desirable.
You will have excellent communication skills, be flexible and be able to identify opportunities, and inspire a feeling of professional integrity with stakeholders.
About the Role
You will work on a 3-year H2020 project focusing on Open Source Software assessment.
The objective is to design and develop innovative text mining methods for processing diverse data sources (e.g. social media posts, forum posts, bug tracker reports and website content) in order to inform decision makers about the quality of Open Source Software projects.
You will work with world-class partners including the University of York, the University of Amsterdam, the University of L’Aquila and the Athens University of Economics and Business, The Open Group, Unparallel, Softeam, Frontendart, Bitergia, OW2 consortium and the Eclipse Foundation Europe.
The successful applicant will work on a two year Knowledge Transfer Partnership, developing a smart cyber security risk assessment and response system based on the monitoring and analysing of risk factors on news posts, social media and private reports.
We want you to feel happy when you come to work and proud when you go home.
>From the moment you join us you have the opportunity to enhance your skills. We offer a range of specialist development sessions or courses and an award winning staff health & wellbeing programme (HR Excellence Awards 2017). This means there will be opportunities to attend interactive sessions like ‘Presenting with impact’ or ‘Preparing for progression & success’.
“A great success story… an institution that improves and impresses year after year” – Times Higher Education.
The Department of Computer Science is a vibrant and innovative environment, which provides excellence in teaching and learning and a rapidly growing base for internationally renowned research. The Department has, for a number of years, been enjoying a significant period of growth, both in its students and staffing base, and has recently moved to a new £13m Tech Hub building housing state-of-the-art facilities to further support its vision as a digital centre of excellence. The Department is focusing its specialism in the areas of data analytics, text mining, informational retrieval, visual computing and disruptive technologies and infrastructures.
The University has been ranked Best University Workplace (Times Higher Education 2015), judged Best UK Employer (European Business Awards 2016) and highly commended in Times Higher Education Leadership and Management Awards 2017 for Workplace of the Year.
The Times Higher ‘University of the Year’ award celebrated our distinct role in “transforming lives” – reflecting a distinctive philosophy of creating opportunity from excellence.
Based on an award-winning campus in West Lancashire, Edge Hill University offers a stimulating and empowering environment for ambitious and high performing professionals.
Interview Date: Week Commencing 4th September 2017, official date to be confirmed.
For informal enquiries about this vacancy you may wish to contact Dr Yannis Korkontzelos<mailto:Yannis.Korkontzelos at edgehill.ac.uk> (Principal Investigator) or Prof Nik Bessis<mailto:Nik.Bessis at edgehill.ac.uk> (Co-investigator, Head of Department of Computer Science).
Further details: EHU website<https://jobs.edgehill.ac.uk/Vacancy.aspx?id=995&forced=2>
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