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Please accept my apologies if you think this is unsuitable traffic for this group. I'm looking for someone who wants a UK Master's degree to take part in an unusual research project- full details below. The candidate will have to be an EU national unless you can pay your own tuition fees (sorry!). It'll be at Cranfield University which is 1 hour north of London. The topic is 'how well can a train/car driver see signs and signals in bad weather or bad light', or 'how well can someone in a burning building see the signs that point their escape route'. We'd like to make our roads and buildings safer. This is a fully funded MSc by Research supervised jointly by the Optical Diagnostics Group and the Human Factors Group within the School of Engineering of Cranfield University. A bursary of £8,000 plus full tuition fees will be paid. The project will involve adapting an existing software tool to simulate the propagation of light in visually sub-optimal conditions. For example, these include conditions of fog and rain, smoke from fire, poor artificial lighting, or when the sun is low on the horizon. Once the code has been modified, additional work will be required to simulate and model human perception in such conditions, considering the responses and limitations of the visual system. The tool will then need to be validated in a range of scenarios, such as the design of fire escape signage and routes, and the placement of road and railway signals for optimal visibility. To apply, you should have experience of programming (in any language), and an interest in applying basic physics to real-world human factors problems. Experience in human factors is desirable but not necessary, as the successful candidate will be given the opportunity to attend postgraduate human factors modules relevant to the research project. On successful completion of the degree, there may be the possibility of further study or employment at Cranfield University. For further information, please contact Dr Mark Jermy on +44 (0)1234 754680 or [EMAIL PROTECTED]
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