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Research Fellow in Digital Twin Technologies

Employer
UNIVERSITY OF SURREY
Location
Surrey, United Kingdom
Salary
£36,024 to £37,099 per annum
Closing date
3 Jan 2024

Mechanical Engineering Sciences

Location: Guildford
Salary: £36,024 to £37,099 per annum
Post Type: Full Time
Closing Date: 23.59 hours GMT on Wednesday 03 January 2024
Reference: 063423

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.  

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.  

The role An exciting opportunity for a Research Fellow position focused on the development of new digital twin technologies relevant to the autonomous vehicle sector. The post centres on the analysis of test data and the design of a digital twin to support failure detection and allow predictive health monitoring of a novel fail-operational steer-by-wire system.

The post is part of the SAFE (Systems for Autonomy in Fail Operational Environments) project funded through a (CCAV) Commercialising Connected and Automated Mobility: Supply Chain grant. The SAFE project will develop a fully redundant, fail-operational Drive-by-Wire technology platform to enable safe driver-out, on-road autonomous vehicle capability. By integrating purpose-built sub-systems, the project will create an automated vehicle capable of achieving SAE Level 4 autonomy. These safety-critical vehicle systems ensure lateral and longitudinal control, even in the event of a single-point fault or failure.

Collaborating under the guidance of Prof Patrick Gruber and Dr Davide Tavernini, you will be responsible for the day-to-day research tasks in accordance with the project plan. This will include laboratory experimentation and data analysis, and will entail coordination of work with that of others involved in the project. Write-up of results in formal documents and contributions to the preparation of journal/conference papers and other outputs (as required) are expected.

Initial contract for the Research Fellow position is set for a duration of 10 months, with extensions subject to thorough performance assessments, availability of project funding, and specific project requirements.

About you

The successful candidate will have a strong background in simulation and programming, and should have a PhD in a relevant discipline such as mechanical, automotive or electronic engineering. Also, experience in the following areas is highly desirable:

  • Simulation and modelling tools relevant to the development of digital twins for vehicle components
  • Vehicle dynamics and control
  • Familiarity with HiL testing 
  • Development and implementation of neural networks
  • Development and testing of predictive health monitoring systems

How to apply

Please apply via the University website and submit a CV along with your application. For informal enquiries please contact Prof Patrick Gruber at p.gruber@surrey.ac.uk.

Further details:    Job Description    

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£34,980) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£36,024).

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