Lecturer in Advanced Vehicle Engineering

Cranfield, Bedford
£41,770 per annum
02 Oct 2017
End of advertisement period
31 Oct 2017
Contract Type
Full Time

Lecturer in Advanced Vehicle Engineering 

Organisation   Cranfield University
School/Department   School of Aerospace, Transport and Manufacturing
Based at   Cranfield Campus, Cranfield, Bedfordshire
Hours of work  37 hours per week (Monday to Friday)
Contract type  Permanent
Salary  £41,770 per annum
Apply by   31/10/2017 

Cranfield University is one of the top five research-intensive universities in the UK and has an unrivalled reputation for transforming cutting edge technology, management and science into practical, life-enhancing solutions. In the recent UK Research Excellence Framework [REF] over 80% of the research carried out by Cranfield University was assessed to be either world or internationally leading, indicating the quality and impact of the work carried out at Cranfield University.

Cranfield has over 50 years’ experience working with transportation clients across sectors including automotive, aviation, motorsport, marine and military. Our education and research activity touches on all modes of vehicle and transport across both technology, engineering and management. The Advanced Vehicle Engineering Centre (AVEC) has excelled in providing research, development, education/training for automotive sector for over fifty years

Applications are invited for a lectureship in the Advanced Vehicle Engineering Centre.  The successful candidate will play a role in the development and delivery of high-quality teaching at the postgraduate level and as part of continuing professional development short courses. In particular this will involve supporting both the MSc programmes in Automotive Engineering and Automotive Mechatronics and short courses within the advanced vehicle systems domain.  A new £9 million open research facility to support the development of autonomous transport vehicles and related systems is being built at Cranfield. As a key member of academic staff, the successful candidate will be expected to attract more funding for, and undertake research in topics relating to advanced vehicle engineering.  The successful candidate will have prior experience of the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to state estimation problems for lithium-sulfur (Li-S) batteries, and be able to take an immediate joint leadership role on research projects in this field.  The successful candidate will also be expected to develop their own research programmes in automotive mechatronics and intelligent mobility engineering.  The outcomes should be suitable for publication in reputable, peer-reviewed journals and/or for delivery to external clients.  The successful candidate will supervise both MSc and, where appropriate, PhD students and must be willing and capable to act as module leader for MSc modules or continuing professional development short courses. The postholder may also undertake University administrative roles such as sitting on academic committees, and be tasked with the role of MSc Course Director and will be particularly responsible for the development of aspects of our new MSc course in intelligent mobility engineering, and will have demonstrable prior learning in the detection and estimation of traffic conditions and their connection to intelligent control of hybrid and electric vehicles.

The successful candidate will hold a PhD in mechanical engineering, mechatronic engineering, control engineering or a related field.
For an informal discussion, please contact Dr Daniel Auger, Lecturer in Advanced Control and Optimisation;