CRANFIELD UNIVERSITY

Research Fellow in Embedded Systems and Computer Vision

4 days left

Location
Cranfield, Bedford
Salary
£32,094 per annum
Posted
24 Oct 2017
End of advertisement period
22 Nov 2017
Contract Type
Fixed Term
Hours
Full Time

Research Fellow in Embedded Systems and Computer Vision

Organisation   Cranfield University
School/Department   School of Aerospace, Transport and Manufacturing
Based at   Cranfield Campus, Cranfield, Bedfordshire
Hours of work   37 hours per week, normally worked Monday to Friday
Contract type   Fixed term contract
Fixed Term Period  Until 31 December 2019
Salary   £32,094 per annum
Apply by  22/11/2017

Cranfield University is an exclusively postgraduate university specialising in technology and management research whilst demonstrating global leadership in the quality of its education provision (both to students and to executive-level professionals). Cranfield is number one in the UK for training and producing engineering and technology postgraduates, ranked number one for defence education and fourth for mechanical, aeronautical and manufacturing engineering education in the UK. In the recent Research Excellence Framework (REF) 2014 exercise, 81% of our research was judged to be world-leading or internationally excellent. Cranfield has also been awarded the prestigious Queen’s Anniversary Prize in Further and Higher Education four times, for our Fellowship in Manufacturing Management (2005), work in Humanitarian De-Mining (2007), Aviation Safety through research and training in air accident investigation (2011) and for our research on water and sanitation for developing countries (2015). Critical intellectual mass at Cranfield has recently been organised around eight major themes, Energy, Environment, Leadership and Management, Manufacturing, Transport, Aerospace, Defence and Security, and Agrifood; each supported by a theme leader who provides strategic direction and thought leadership. The themes reflect the core strengths and they pull together the breadth of the talent and experience across the University enabling researchers to apply a multi-disciplinary approach that enables cross-boundary collaboration, benefiting researchers, students and clients.

The aerospace theme is led by Professor Iain Gray, and represents one of the largest academic centres in Western Europe for strategic applied research, development and design within aerospace. This is represented by a number of advanced facilities, tools and expertise in the field, including capabilities unique to Cranfield, and several close commercial partnerships with companies, including Airbus, BAE Systems, Boeing and Rolls Royce. The aerospace theme at Cranfield has also seen significant University investment over recent years, including the development of a new Aerospace Integration Research Centre. This is to be built at Cranfield University, with Airbus and Rolls-Royce as co-investment partners, following the award of funding from the Higher Education.

This is fixed-term position to support the delivery of research on Embedded Systems and Visualisation for the Innovate UK-funded project HumanDrive. The main aim of the project is to provide a demonstration of driverless car with the capability of emulating human driver behaviour. As a part of the demonstrator development, there is a need to provide quantifiable comparison between the desired and actual behaviours together with traceability of the differences. The experimental data will be collected from the newly built instrumented road - Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI). The post requires the candidate to have excellent programming skills, working with embedded systems and visualisation. Using the experimental data the aim is to detect and process the movements of the vehicles and other objects from MUEAVI. In parallel a synthetic environment will be developed in simulation and used to compare with the data obtained from the experiments.

The post will involve collaboration with academic and industrial partners. You will need to be able to demonstrate excellent interpersonal skills to communicate with staff from all organisations across a wide range of disciplines to discuss research methodologies. The ability to communicate, rapidly assess information, resolve problems and respond in a timely manner is essential. A PhD in computing, embedded systems, machine vision or related engineering/science subject is essential. Industrial experience would be an advantage.

For an informal discussion, please contact Professor Antonios Tsourdos, Head of the Autonomous and Cyber-Physical Systems Centre, on +44 (0)1234 75 8211; a.tsourdos@cranfield.ac.uk

Interviews expected to be held:  Week commencing 4 December 2017