Natural Language Processing Research Associate (KTP Associate) University of Manchester, School of Computer Science United Kingdom

Natural Language Processing Research Associate (KTP Associate)


Job Reference : S&E-13616


Location : Oxford Road, Manchester


Closing Date : 07/04/2019


Salary : £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget


Employment Type : Fixed Term


Faculty / Organisational Unit : Science & Engineering


Division : Text Mining


Hours Per week : full time


Contract Duration : Available asap for 30 months


This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with Bott and Co.

 

Bott and Co is a multiple award-winning solicitors based in Wilmslow, Cheshire with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

 

The University of Manchester and Bott are looking to recruit a research associate to undertake this 30 month project which has an overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

 

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

 

You will require a BSc and an MSc (PhD desired) in Computer Science or related areas and academic or industrial experience in the area of Natural Language Processing. You should have software development experience in Java or Python.

 

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

 

Based at Bott and Co’s offices in the heart of Wilmslow, near Manchester, you will work directly with supervisors from both the University of Manchester and Bott and will use the facilities and resources of both organisations.

 

As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

 

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Enquiries about vacancy shortlisting and interviews:

Name: Professor Sophia Ananiadou

Email: Sophia.ananiadou@manchester.ac.uk

 

Or

Name: Dr Andre Freitas

Email: andre.freitas@manchester.ac.uk

 

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004

 

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

 

This vacancy will close for applications at midnight on the closing date


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