Data Scientist - Machine Learning and Text Mining (KTP Associate) Manchester, England
Job description
This is an exciting and unique opportunity for an ambitious recent PhD graduate or post-doctoral data scientist with the ability and confidence to manage a strategically important Knowledge Transfer Partnership (KTP) project with KultraLab Limited. As a market leader in developing a behaviour change coaching platform to revolutionise workforce performance, KultraLab develops a personalised, dynamic, and measurable digital coaching platform which support the behaviour changes and performance improvement for retailers and other organisations.
The University of Manchester and KultraLab are looking to recruit a data scientist with the expertise in Machine Learning and Text Mining and to undertake this 30-month project, whose overall aim is to develop, embed and exploit advanced artificial intelligence (AI) capability for the development of a scalable, AI-based digital coaching platform, enabling workforces to fulfil their performance potential using the power of coaching.
The position will provide the successful candidate with a unique opportunity to apply state-of-the-art machine learning and text mining techniques and methods to develop the cutting-edge technologies which has a high level of commercial applicability. You will play a vital role in introducing new Text Mining and Machine Learning techniques to support strategically important future business development.
In additional to the exciting research and development project, the Associate will gain project management experience and access £5,000 for professional development and training, including attendance at two residential managerial workshops (each of one week’s duration). The further benefit includes the opportunity of a permanent position with the company, as 70% of host companies for KTP projects make a permanent job offer to their Associate at the end of the project
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 KultraLab office hub in Manchester, the successful candidate will work directly with supervisors from both the University and KultraLab 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 age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. http://www.seaes.manchester.ac.uk/about-us/athena-swan/
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof. Xiao-Jun Zeng
Email: [email protected]
General enquiries:
Email: [email protected]
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
