PhD Studentship: Assured Runtime Control for Safe Autonomy (ARCS-A)
Join a cutting-edge project developing safety controllers for autonomous systems.
Best for:Best for candidates with a strong background in AI, machine learning, and control systems.
Overview
This PhD position focuses on creating an assured runtime safety controller for autonomous ground vehicles used in defense operations. The research, conducted in collaboration with SC Group Ltd., aims to ensure that these vehicles can operate safely in dynamic environments. The successful candidate will work on integrating various techniques such as safety monitoring and real-time learning to validate control decisions. Applicants are expected to contribute to the development of both control policies and safety certificates, ensuring the safe deployment of AI/ML technologies.
What you'll do
- Develop an assured runtime safety controller for autonomous ground vehicles.
- Conduct research on safety monitoring and environment adaptation techniques.
- Simultaneously learn control policies and safety certificates.
- Validate control decisions using operational data from the autonomous systems.
Requirements
Degree required: MSc in Engineering or a related field
Degree offered: PhD
Language: English; proficiency in academic writing
Instruction: English
- Strong knowledge of AI and machine learning techniques
- Experience in control systems design
- Familiarity with safety assurance methodologies
- Ability to work collaboratively in a research environment
- Open to all nationalities
- Must hold a relevant master's degree
Funding & terms
How to apply
Deadline: 2026-10-23
Interested candidates should apply through the provided link. Ensure all required documents are submitted by the deadline.
- CV
- Cover letter
- Research proposal
- Transcripts from previous degrees
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