Research Assistant in Simulation-Based Testing
| Posting date: | 09 July 2025 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | £31637-36130 per annum |
| Hours: | Full time |
| Closing date: | 08 August 2025 |
| Location: | Sheffield, S10 2TN |
| Company: | University of Sheffield |
| Job type: | Temporary |
| Job reference: | 1262-43510938 |
Summary
University of Sheffield
Autonomous driving systems (ADS) are rapidly advancing, but ensuring their safety and reliability remains a critical challenge. Simulation-based testing offers a promising approach to address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing.
We are seeking two highly-motivated and enthusiastic research assistants to join our team and contribute to advancing simulation-based testing methods for ADS. You will be involved in leading-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine Learning-enabled Autonomous Systems and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems.
The successful candidates will undertake research into simulation-based testing and debugging techniques for ADS. You will work closely with our international collaborators in Germany and South Korea, engage with world-leading researchers, and contribute to open-source tools. You will also be able to present your work at national and international conferences and publish in high-quality journals. Furthermore, you will engage with the members of the Testing research group, one of the largest research groups devoted to software testing in the UK.
The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. We are committed to exploring flexible working opportunities which benefit the individual and University. Find out more at www.sheffield.ac.uk/benefits and join us to become part of something special.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
Autonomous driving systems (ADS) are rapidly advancing, but ensuring their safety and reliability remains a critical challenge. Simulation-based testing offers a promising approach to address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing.
We are seeking two highly-motivated and enthusiastic research assistants to join our team and contribute to advancing simulation-based testing methods for ADS. You will be involved in leading-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine Learning-enabled Autonomous Systems and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems.
The successful candidates will undertake research into simulation-based testing and debugging techniques for ADS. You will work closely with our international collaborators in Germany and South Korea, engage with world-leading researchers, and contribute to open-source tools. You will also be able to present your work at national and international conferences and publish in high-quality journals. Furthermore, you will engage with the members of the Testing research group, one of the largest research groups devoted to software testing in the UK.
The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. We are committed to exploring flexible working opportunities which benefit the individual and University. Find out more at www.sheffield.ac.uk/benefits and join us to become part of something special.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.