We are always on the lookout for highly motivated students and researchers with varying skillset inlcuding:
- Analogue/Mixed-signal design
- RF design
- Biomedical signal processing
- Digital integrated circuits
- Embedded systems
- Machine learning
- Algorithms development
A fully-funded PhD studentship available for UK/EU/International students to work under the supervision of Prof. Esther Rodriguez-Villegas at the Wearable Technologies Lab, Department of Electrical and Electronic Engineering, Imperial College Lodon. The research topic for this PhD is part of a major EPSRC grant to support self-management of chronic conditions using intelligent healthcare technologies. The aim of this project is to create a small, light-weight, and low-cost novel wearable wireless technology to monitor patients suffering from Chronic Obstructive Pulmonary Disease (COPD). As part of the PhD, the student is expected to set up clinical experiments, liaise with medical and industry professionals, analyse real patient data and work with this to create intelligent low-power algorithms.
An ideal candidate should have, or be about to receive, a masters degree in electrical, electronic or biomedical engineering (or related). The candidate should have very strong analytical skills and knowledge of biomedical signal processing, data analytics, and algorithm development.
For more details, please e-mail firstname.lastname@example.org.
Research Assistant/Associate in Wearable Electronics for Personal Healthcare Systems
Applicants are invited to apply for a new position in the Wearable Technologies Lab at either Research Assistant or Research Associate level. This position is funded by a major EPSRC grant to support self-management of chronic conditions using intelligent healthcare technologies. The aim of this project is to create a small, light-weight, and low-cost novel wearable wireless technology to monitor patients suffering from Chronic Obstructive Pulmonary Disease (COPD).
To work on this project, we are looking for outstanding candidates with a strong experience and proven track record in the following research areas:
- Biomedical signal processing
- Real-time algorithms development
- Low power electronics for wearable sensing
- Data analytics
The successful candidate will require:
- Excellent programming skills for low-power microcontrollers, mobile phones and embedded systems.
- Knowledge of low-power hardware design techniques.
- Deep understanding of signal processing methods applied to physiological signals.
- Expertise in using numerical software such as Matlab and Octave.
- Ability to prototype in Matlab, Python, C/C++.
- Strong collaboration and communication skills.
Any additional experience in sensor design, system integration, or clinical trial management will be highly desirable.
For a Research Assistant level position, the candidate must have a Master’s degree (or equivalent) in Electrical and Electronic Engineering. For a Research Associate level position, the candidate must have a PhD degree (or equivalent) in related disciplines together with a strong publication record.
For informal enquiries about the post please contact Prof. Esther Rodriguez Villegas at email@example.com.