This is a novel project which aims to create systems that enable health biomarking through novel AI diagnostics and data collection in sensor-rich environments of automobiles. As part of our team we will develop a pipeline for invisible health monitoring in anyone stepping into a vehicle. This project will explore the use of in-vehicle sensing to monitor healthy living with a focus on:
- Designing and testing sensor set-up in a vehicle living lab
- Data collection and analysis using machine learning techniques
- Developing algorithms for healthcare applications
You will be an enthusiastic and self-motivated person who meets the academic requirements for enrolment for the PhD degree at Imperial College London. You will have a strong degree in engineering or a related subject, and an enquiring and rigorous approach to research together with a strong intellect and disciplined work habits. An interest in some combination of signal processing, machine learning, NLP, speech recognition and affective robotics is essential. Good team-working, observational and communication skills are essential. Successful candidates will be expected to support the development of the vehicle living lab and will be expected to travel when necessary to conduct the research and data collection.
To find out more about research at Imperial College London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/
For information on how to apply, go to http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply/
For further details of the post contact Dr Alina-Irina Serban alina-.serban18@imperial.ac.uk, or Prof Ravi Vaidyanathan r.vaidyanathan@imperial.ac.uk. Interested applicants should send an up-to-date curriculum vitae. Suitable candidates will be required to complete an electronic application form at Imperial College London in order for their qualifications to be addressed by College Registry.
Closing date: until post filled
Official Application Link
Credits: Source
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