Real-time biomedical physiological sensing for first responders or exposed workers

We are seeking excellent candidates with interests in systems engineering and optimisation who want to study at a top 20 UK research-led University whilst working with industrial partners.

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing the EPSRC Centre for Doctoral Training in Embedded Intelligence at Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from a four-year studentship award that includes an enhanced EPSRC tax-free annual stipend of at least £17,553 per annum and UK/EU tuition fees. Furthermore, each student benefits from a personal training budget of £10,000 in addition to a research budget and support from academic members of staff and industrial partners.

Loughborough University aims to ensure equality for men and women. We follow the principles of the Athena SWAN Charter by wishing to attract, support, and reward women in STEMM at all career stages.

Project Detail:
This project is co-sponsored by INMM® S.r.l. and the successful candidate will be based in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering.

First responders and exposed workers (including firefighters, paramedics, or offshore drilling workers) usually operate in very harsh scenarios, constantly putting their own lives at risk. One of the most important causes of death or injury is the lack of control of the responder’s physiological state: existing sensors do not have the right form factor or the right level of performance and reliability for real-life use.

This project aims at developing a robust and reliable wearable sensor integrating physiological and motion sensing, to keep the users’ health constantly monitored and supervised.

Find out more:
www.cdt-ei.org and www.inmm.it

Entry requirements:
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in a relevant engineering or science degree such as (but not limited to) biomedical engineering, electronic engineering, biorobotics, bionics. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: processing and analysis of physical and physiological signals. Experience of in hardware design and biomedical signal processing, as well as proficiency in software coding are highly desirable as is knowledge of Italian language.

Applicants must meet the minimum English Language requirements, details available on the website.

Contact details:
Name: Professor Massimiliano Zecca
Email address: [Email Address Removed]
Telephone number: 01509 227 122

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select “CDT Embedded Intelligence Wolfson School”

Please quote reference number: 2017CDTEIWS5
Application deadline: 31st May 2017