Research Assistant in Simulation-Based Testing (0.2 FTE)

Job description:

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 motivated and technically-skilled research assistants to join our team and contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-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.

In this role, you will gain hands-on experience by setting up and configuring open-source driving simulators (eg CARLA, BeamNG), implementing research tools, and running experiments to support our research activities. You will work alongside researchers and international collaborators from Germany and South Korea, contributing directly to real-world projects.

This position offers an excellent opportunity to build early research experience, develop a track record of open-source contributions, and potentially co-author publications. It is particularly well-suited for students who are considering pursuing a PhD or an academic career after graduation.

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.

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