Research Fellow in Autonomous Vehicles

University of Surrey - Department of Mechanical Engineering Sciences

Applications are invited from enthusiastic, self-motivated and talented individuals for a Research Fellow position as part of TrustVehicle, that brings world leading automotive manufacturers and Tier1 suppliers together with research institutes. With an interest in leveraging state of the art knowledge in decision making of automated vehicles, you will specifically design, develop and implement novel software algorithms for conditionally automated vehicles (Level 3/4) in mixed traffic scenarios as well as support experiments to investigate performance and user acceptance of the developed algorithms.

Project Background

TrustVehicle is a multidisciplinary collaborative research project funded by European Union’s Horizon 2020 research and innovation programme under grant agreement No 723324.The aim of the project is advancing technical solutions for automated driving to better assess critical situations in mixed traffic scenarios and even under harsh environmental conditions, hence increasing safety far beyond the current levels. The project follows a user-centric approach and will provide solutions which significantly increase reliability and trustworthiness of automated vehicles and contribute to end-user acceptance.

The project offers an opportunity for successful candidates to work in an inspiring environment at the University's Centre for Automotive Engineering of the Mechanical Engineering Sciences Department, which has research interests in a wide range of topics including connected and automated vehicles, active vehicle dynamics, electric powertrains, vehicle aerodynamics, novel transmission systems for electric and hybrid electric vehicles and tyre dynamics.

Our Offer

As part of this project, we offer a Research Fellow position (RA1A) for 22 months (project end June 2020). In particular, the postholder will work on the development of control technology for automated vehicles using novel techniques (preferably artificial intelligence, machine learning), and implementation of the real-time models on to the prototype vehicle, to evaluate their effectiveness both from the users and technology providers point of view. Although you will be based at the University of Surrey, you will be expected to travel for meetings, conferences and joint activities (implementation and testing). A budget for travel and other expenses will be provided, and there will be several opportunities to attend related conferences.

Your profile

We are looking for a researcher with a PhD degree or currently enrolled on a PhD programme, with good skills and knowledge in the development of software algorithms for automated vehicles.

Knowledge of:

  1. Motion planning, behavioural planning algorithms
  2. Path tracking and trajectory tracking algorithms
  3. Advanced driver assistance systems
  4. Vehicle dynamics simulation
  5. Automated vehicles

is highly advantageous, as is experience in machine learning, and artificial intelligence. You need to have good programming and experimental skills.

The successful candidate should have experience of communicating findings in journal papers.

Your responsibilities

You will be expected to conduct research in TrustVehicle project concerned with software (planning algorithm and control algorithm) development, integration and testing for a conditionally automated vehicle. The duties will also include reporting the results in top ranking journals.

Information

Applicants are strongly encouraged to contact the project coordinator Dr.Hartavi Karci.

e-mail: a.hartavikarci@surrey.ac.uk

Tel: +44 (0) 01483 68 2895 

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£30,688) 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 (£31,604).

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

South East England