UNIVERSITY OF MANCHESTER

Research Associate in Signal Processing for Wearables

Expiring today

Location
Manchester, United Kingdom
Salary
£32,236 - £35,211 per annum
Posted
03 Nov 2018
End of advertisement period
15 Nov 2018
Ref
S&E-13006
Contract Type
Fixed Term
Hours
Full Time

Location : Oxford Road, Manchester
Closing Date : 15/11/2018
Salary : £32,236 - £35,211 per annum
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering
Division : Electrical & Electronic Engineering
Hours Per week : Full Time
Contract Duration : As soon as possible, until 31 August 2020

You will create signal processing and machine learning algorithms for wearable devices. We are looking to create algorithms for ‘intelligent sensing’ which process multi-modal and multi-rate data streams from both wearable devices and from Electronic Health Records to control the sampling performed by a wearable. This is part of the EPSRC funded project “The Wearable Clinic: Connecting Health, Self and Care” which aims to create new personalized care plans for people with schizophrenia and chronic kidney disease. The current role focuses on the wearable sensing aspects of the project, principally via algorithm development in Matlab/Python for analysing accelerometry data collected from 100,000 people. The ideal candidate would also have an interest in running code on edge devices (i.e. a wearable) and and so an awareness of computational complexity, code optimization, and working with embedded devices will be essential.

This position will ideally suit applicants with an interest in developing signal processing and machine learning techniques and applying them to real-world problems. Expertise in algorithm design are essential. We are not constrained to using any one specific technique, and instead individuals with a creative approach to problem solving are desired. Nevertheless, experience with techniques such as sequential testing, statistical process control, reinforcement learning, k means clustering, principal component analysis, unsupervised machine learning, would be beneficial. In addition, some hands on data collection must be performed and so applicants must be willing to get involved in experimental work. Previous experience with wearable sensor hardware/manufacture and/or embedded device programming is required, and experience of PCB design and fabrication using Altium design tools would be beneficial, or training can be provided if necessary.

You will have a PhD (or equivalent), or be close to achieving the degree, in Electrical and Electronic Engineering, Biomedical Engineering, Medical Physics, Computing or closely related field. Excellent oral and written communication skills will also be a requirement for the post.

The School of Electrical & Electronic Engineering 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. 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....

The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community.

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

Enquiries about vacancy shortlisting and interviews:

Name: Dr Alex Casson

Email: alex.casson@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

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