Research Fellow in Advanced Vehicle Dynamics Control

University of Surrey; Guildford; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

An established industry player in automotive engineering is seeking a Research Fellow to explore innovative vehicle dynamics algorithms. This role involves collaboration with industrial partners and access to cutting-edge vehicle chassis actuators for testing. The successful candidate will utilize their expertise in experimental testing and programming to develop advanced control algorithms aimed at enhancing vehicle safety and performance. Join a dynamic and inclusive team dedicated to pioneering research in vehicle dynamics and autonomous systems, where your contributions will lead to impactful solutions. Don't miss this opportunity to be part of a forward-thinking research environment!

Benefits

Generous pension

Relocation assistance

Flexible working options

Access to leisure facilities

Travel schemes

Family friendly benefits

On-site nursery

Qualifications

• Strong background in experimental testing and programming.
• PhD in a relevant discipline is required.

Responsibilities

• Developing advanced control algorithms for vehicle performance.
• Collaborating with experts to enhance vehicle safety and durability.
• Presenting research findings and contributing to publications.

Skills

Experimental Testing

MATLAB/SIMULINK

Control Development

Neural Networks

Instrumentation

Data-Logging

Education

PhD in Mechanical Engineering

PhD in Automotive Engineering

PhD in Electrical/Electronic Engineering

Job description

Research Fellow in Advanced Vehicle Dynamics Control

Applications are invited for a Research Fellow position focused on exploring vehicle dynamics algorithms for safety, stability and durability of next generation electrified/automated-driving vehicles. The position involves working closely with industrial partners and provides access to state-of-the-art vehicle chassis actuators for testing.

About the Role

The successful candidate will have a strong background in experimental testing, programming (MATLAB/SIMULINK) and control, and should have a PhD in a relevant discipline such as mechanical, automotive or electrical/electronic engineering. Also, experience in the following areas is highly desirable:

1. Control development and implementation, including neural networks
2. Instrumentation and data-logging

Working under the leadership of Dr Davide Tavernini, Prof Patrick Gruber and Dr Umberto Montanaro, you will be responsible for the day-to-day research tasks in accordance with the activity plan. This will include:

1. Developing and implementing advanced control algorithms for chassis actuators to enhance vehicle performance, safety and durability;
2. Refining and further developing predictive health monitoring algorithms and running experiments on the actual prototypes;
3. Collaborating with a team of experts in various fields, including electrical/electronic engineering, mechanical engineering, and computer science;
4. Participating in presenting research findings, and contributing to activity reports and publications.

Join our dynamic and inclusive team at the Centre for Automotive Engineering within the School of Mechanical Engineering Sciences. We actively seek applicants from all backgrounds, valuing the unique perspectives they bring to our research, which, in turn, leads to innovative solutions. We are dedicated to creating an environment where everyone is not only welcomed but also valued, respected, and supported.

Our Centre specializes in cutting-edge research areas, with a particular focus on vehicle dynamics and the control of autonomous systems. Initial contract for the Research Fellow position is set for a duration of up to 11 months (up to 31st December 2025), with extensions subject to thorough performance assessments, availability of project funding, and specific project requirements.

How to Apply

To apply for this role, please upload a CV and cover letter with your application on the University of Surrey Website. For informal enquiries please contact Dr Davide Tavernini at [e-mail].

Please note the university reserves the right to close this vacancy early based on volume and calibre of applications.

For more information and to apply online, please download the further details and click on the 'apply online' button above.

In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.