Manchester, Manchester, M15 6SZ
£ 38,000 per annum
PHD in Eng/Applied Maths
19 January 2019
KTP Advert Ref:
Are you a researcher with a good knowledge and experience in data analysis for medical diagnosis or related areas? Would
you like to use your expertise to develop innovative medical devices for a fast growing UK medical diagnostic device company.
We are inviting applications for a KTP Associate to work with a professor in the Department of Automatic Control and
Systems Engineering at The University of Sheffield and Zilico, a fast growing UK medical diagnostic device company based in
Manchester Science Park. You will be leading a project developing the next generation of cancer diagnostic devices. Using your skills and experience to analyse complex spectra from real clinical measurements and developing innovative algorithms to help target disease at an early stage. This is an opportunity to make a real contribution to improving patient outcomes. As Zilico grows its technical team there is the opportunity of a permanent position at the end of the project.
Zilico was established in 2006 to commercialise Electrical Impedance Spectroscopy (EIS) in medical diagnosis. Zilico's first product – ZedScan - has been sold since 2014 and now has customers in the UK, Ireland, Poland, Finland, Greece, and
Australia. ZedScan is used in diagnosing cervical cancer and pre-cancer and has been clinically shown to identify disease that current methods would miss. For further information, please visit: https://zilico.co.uk/
You will have a PhD (or be close to completion) in engineering/applied mathematics or the equivalent experience, with a good knowledge in biomedical data analysis, machine learning and applications, frequency analysis of signals and systems.
The post is fixed term for 24 months, employed by the University of Sheffield. Your work will be generally based at Zilico, in Manchester.
Knowledge Base Partner:
Sheffield, The University of
Company business area:
Commercialise technology developed by the Royal Hallamshire Hospital and the University of Sheffield. Develop, manufacture and distribute a medical diagnostic device [ZedScan] and an associated consumable sensor.
Professor Z Q Lang
, Department of Automatic Control and Systems Engineering
S1 3JD, Tel: 0114 222 email@example.com