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Postdoctoral Research Associate in Text Mining

Research Investment Fund (INTERNAL)

Location:  Ormskirk
Salary:  £33,518 to £37,706 per annum
Fixed Term for 12 months
Post Type:  Full Time
Closing Date:  Monday 06 August 2018
Reference:  EHR0067-0618

Join us in the pursuit of excellence

About You

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.

Rewards/Benefits

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 as well as opportunities to attend interactive sessions like ‘Presenting with impact’ or ‘Preparing for progression & success’ you are able to have a lunchtime stroll across our beautiful campus, book to get a trim from our onsite hairdresser, your car valeted, or get together with colleagues over free food and drink to watch the latest film on one of our Film Nights and so much more.

This is just a taste of what we are able to offer you at Edge Hill University.

About Us

“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.

For informal enquiries about this vacancy you may wish to contact Dr Yannis Korkontzelos (Principal Investigator) at Yannis.Korkontzelos@edgehill.ac.uk or Professor Nik Bessis (Co- investigator, Head of Department of Computer Science) at Nik.Bessis@edgehill.ac.uk

Further details:    Job Description & Person Specification    

 

 


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