Research Fellow in Design of Motion Algorithms to Test Rail Vehicle Passenger Comfort
3 days left
- Full Time
Are you an ambitious researcher looking for your next challenge? Do you have experience in passenger comfort studies, motion simulators, or human factors? Do you want to further your career in one of the UK’s leading research intensive Universities?
Working in the Human Factors and Safety Research Group you will join a unique, cross-disciplinary team and contribute to a major research project. The University of Leeds, along with external partners, are investing over £60 million in the establishment of a new high speed rail institute. A ten acre site is being developed as a Rail Engineering/Technology campus, primarily for HSR research. This post is funded by our industrial partners to develop innovative solutions. The project will specifically use motion simulation to perform ride comfort studies to assist in vehicle design as well as quantifying the impact of various track alignment parameters.
With an interest in leveraging state of the art knowledge in motion simulation, you will be responsible for developing simulator software and leading experiments to support ride comfort testing. This work will lead to the design of more cost effective rail systems and preparation of papers for scientific journals and conferences.
You will have a PhD or be near to completion (i.e. the initial thesis needs to have been handed in at the point of application) in Engineering, Transport or Computer Science, or a closely allied discipline. You will also have a strong foundation in Control Theory, Vestibular Modelling and Scientific programming.
To explore the post further or for any queries you may have, please contact:
Prof Richard Romano, Chair in Driving Simulation
Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: Institute for Transport Studies
Grade: Grade 7
Salary: £33,797 to £40,322 p.a.
Working Time: 100% - We will consider job share/flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (for 2 years due to external funding)
Release Date: Tuesday 15 October 2019
Closing Date: Thursday 14 November 2019
Downloads: Candidate Brief