Objectives. In this project you will develop wearable systems comprising of advanced machine learning techniques (e.g. deep learning) and novel sensor modalities to recognise a wide variety of Activities of Daily Living, related to personal care (e.g.
The student will have the opportunity to work with experts from IVHM Boeing funded Centre at the Cranfield University and Exostar in the field of hardware security, as well as being part of our dynamic and robust research centre at Cranfield.
Our reliance on the correct functioning of embedded systems is growing rapidly. Such systems are used in a wide range of applications such as airbag control systems, mobile phones, and high-end television sets.
Applications are invited for a fully-funded three year PhD to commence in October 2019. The PhD will be based in the Institute of Cosmology and Gravitation and will be supervised by Dr Andrew Lundgren, Dr Philip Benson and Professor David Bacon.
Existing research looks at professionals who have taken on managerial roles and/or responsibilities and problematizes the conflicting logics (managerial/commercial and professional) that apply in circumstances of institutional complexity (when different and competing logics are at play) (Noordegraaf, 2007, p.