An exciting opportunity exists for a Research Assistant to work in human centred design and simulation of Human Machine Interface (HMI) issues with automated vehicles in HI:DAV project, which is collaboration between Cambridge Engineering Design Centre (EDC) and the University of Southampton (HFIDTC). The research will capitalise on the performance benefits for both the human and technological agents by using a combined Distributed Cognition (DCOG) and Inclusive Design approach.
A key objective is to understand users' preferences, performance and capabilities in the use of autonomous vehicle control interfaces. Then, to use the inclusive and ecological design processes, within the DCOG paradigm, to develop HMI technology to accommodate these variations and to deliver empirically tested prototypes to stakeholders in ready-to-use formats.
The successful candidate will have a Degree (BSc or Masters) in Engineering, with experience in Automotive Engineering or vehicle control simulation or Robotics. They should have some background in research in ADAS Automotive product development, machine learning for control in robotics, and Interdisciplinary Industrial Engineering, and have experience of laboratory and field experimental work and have the ability to deliver project outputs, as well as be willingness to work in multi-site collaborative, multidisciplinary teams. They will be able to evidence quality publications consistent with their experience and have excellent communication skills.
The role requires skills in vehicle simulation programming environments, HMI interface programming, including visual C and C++; experimental design, and statistical analysis of experimental results. Familiarity and experience of the STISIM simulation environment would be advantageous.
Information on the EDC is available here: http://www-edc.eng.cam.ac.uk/
Salary Ranges: Research Assistant: £25,728 - £30,688
Fixed-term: The funds for this post are available until 30 November 2019 in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please upload your CV (including a publications list) and a covering letter by midnight on the closing date. Additional documents that have not been requested will not be considered as part of your application. If you have any questions about this vacancy or the application process, please contact: Mari Huhtala, email: firstname.lastname@example.org
Please quote reference NM15897 on your application and in any correspondence about this vacancy.
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