KTP Associate (Machine Learning Research Engineer)

Engineering and Environment

KTP Associate (Machine Learning Research Engineer) - Ref EAE17/43
Full Time
Fixed Term for 24 Months
Location: Smyths Toys, Corby

Salary:    Circa £30,000 

Please note that if you do not have permission to work in the UK, Northumbria University may not be able to obtain a Certificate of Sponsorship for you to take up this position. 

This is a great opportunity to be involved in strategic and core development of Smyths Toys’ information systems. Smyths Toys is the largest toy retailer in UK/Ireland and is currently expanding in to Europe. You will lead an innovative project at the forefront of current practice in the application of Machine Learning to business forecasting.

This is an exciting project to research, design, develop and implement a new and innovative approach to sales volume prediction in the toy industry. You will require well-developed research skills to understand and critically evaluate current technology in key areas. In addition, you will need a willingness to engage with innovative approaches and develop insights into future trends and opportunities. The system represents an advance in technology, and will require you to work closely with existing staff across the company to assure the adoption of systems developed.

The opportunities available to you:

• Potential to be retained in a permanent position with the company at the end of the project
• Ca £8,000 professional training and travel budget
• Potential for performance-related bonus

Qualifications we require: You should have a post-graduate qualification (MSc, MEng, or PhD) in Computer Science or a related discipline. Candidates with BSc/BEng plus demonstrable expertise and aptitude for the challenges of the project, will also be considered.

Knowledge and experience of the following is essential: Machine Learning, programming.

Experience of the following, whilst not essential, would be beneficial: Deep Learning, Sentiment Analysis, Image Processing, TensorFlow, Pytorch and Matlab.

You should have a good set of interpersonal skills including communication, organisational and problem solving and management skills. As well as technical and project skills you will require strong writing and presentation skills in order to communicate with an in-house steering group; to participate in business and industry events; and to contribute to the writing of academic papers.

The post-holder will receive supervision and support from experienced staff in the University's well-resourced Faculty of Engineering and Environment and report directly to senior management in Smyths Toys.
For informal enquiries about this post, please contact Dr Graham Sexton - 0191 227 3232 – g.sexton@northumbria.ac.uk ; Dr Martin Wonders – 0191 227 3602 - martin.wonders@northumbria.ac.uk ; or Dr Li Zhang - 0191 243 7089 – li.zhang@northumbria.ac.uk 

Find out more about Computer Science research at Northumbria University: https://www.northumbria.ac.uk/about-us/academic-departments/computer-and-information-sciences/research/ 
Find out more about KTP: https://www.gov.uk/guidance/knowledge-transfer-partnerships-what-they-are-and-how-to-apply 

For more information and to apply please visit - https://work4.northumbria.ac.uk/work-for-us/details/?roleId=558 

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN (Bronze) award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.

Closing Date:  Sunday 15th April 2018