UNIVERSITY OF MANCHESTER

Research Associate in Electrical and Electronic Engineering

2 days left

Location
Manchester, United Kingdom
Posted
27 Aug 2018
End of advertisement period
26 Sep 2018
Ref
S&E-12596
Contract Type
Fixed Term
Hours
Full Time

This is an exciting project, funded by the EPSRC IAA scheme, between the University of Manchester and the SmartLifeInc Ltd, on developing advanced deep learning-based signal processing techniques for wearable sensor signals. SmartLifeInc is a market leader in the wearable sensors and sensing technology. The aim of the project is to develop a proof-of-concept of novel, deep learning-based signal processing techniques for enhanced interpretation and modelling of noisy wearable sensor signals and to exploit its commercial potential in SmartLife products. The project will expand the scope of current, cutting edge research in deep learning to a new and hugely promising application domain, healthcare and wearable sensing. It will enable our previous EPSRC research to realise further economic and social impact, as well as to benefit SmartLifeInc and the wearable technology industry in general from the cutting-edge technology.

We are recruiting a high calibre individual with a background in either signal processing or machine learning as the EPSRC Research Associate to work on the project with the Manchester University team and the SmartLifeInc in Manchester.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athen...

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: Dr Hujun Yin

Email: Hujun.Yin@manchester.ac.uk

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004

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

Further Particulars