About the Role
You will work on a 2-year collaborative UKIERI-DST (UK-India) project focusing on developing a novel computational framework for monitoring and anticipating human driver’s activities (distractions, eating, drinking, etc.) in a given context (congestion, weather, road works, traffic sign, etc.). The objective is to design and develop innovative deep learning and computer vision techniques to be integrated in a resource-constrained automobile environment with limited computational power and fast enough to run in real-time.
We want you to feel happy when you come to work and proud when you go home.
From the moment you join us you have the opportunity to enhance your skills. We offer a range of specialist development sessions or courses and an award-winning staff health & wellbeing programme (HR Excellence Awards 2017). This means as well as opportunities to attend interactive sessions like ‘Presenting with Impact’ or ‘Preparing for Your Future’ you are able to have a lunchtime stroll across our beautiful campus, benefit from discounted membership to our state of the art sport and leisure facilities and so much more.
This is just a taste of what we are able to offer you at Edge Hill University.
Edge Hill University is “A great success story… an institution that improves and impresses year after year” – Times Higher Education.
The University has been ranked Best University Workplace (Times Higher Education 2015), judged Best UK Employer (European Business Awards 2016) and highly commended in Times Higher Education Leadership and Management Awards 2017 for Workplace of the Year.
The Times Higher ‘University of the Year’ award celebrated our distinct role in “transforming lives” – reflecting a distinctive philosophy of creating opportunity from excellence.
Based on an award-winning campus in West Lancashire, Edge Hill University offers a stimulating and empowering environment for ambitious and high performing professionals.
Edge Hill University
You will have a PHD in the broad area of Computer Science or Engineering disciplines with a focus in either Computer Vision, Machine Learning, Video Analysis or Recognition. A working knowledge of computer vision and machine learning with strong programming (e.g. C/C++, MATLAB, Python, Java) and mathematical skills is essential to the role as is experience in software development. You will have excellent organisational skills, be flexible and able to identify opportunities along with maintaining total confidentiality and working within ethical guidelines. Above all, your excellent communication skills and ability to develop relationships at all levels will ensure that you quickly become a member of our friendly and creative team.