Research Fellow in Safe Ai

Description:

The Safe Autonomy Group at WMG, University of Warwick, is seeking a Research Fellow in Safe AI to contribute to the EPSRC-funded project “Harnessing Synthetic Data Fidelity for Assured Perception of Autonomous Vehicles.”

Key Responsibilities:

• Conduct advanced research on synthetic data fidelity for the verification and validation of Autonomous Vehicles (AVs).
• Apply cutting-edge techniques in machine learning (ML) testing, formal verification, explainable AI (XAI), robust ML training, and uncertainty quantification.
• Develop frameworks to quantify synthetic data fidelity and assess its impact on AV safety.
• Collaborate with academic and industry partners on high-impact projects.
• Publish research findings in leading journals and conferences.
• Engage in stakeholder communication, PR efforts, and policy-making contributions.

Qualifications:

• Background in Safe AI, cognitive systems, or related fields.
• Experience with systems-thinking approaches (e.g., STPA), safety assurance cases, and statistical modeling.
• Proficiency in advanced machine learning methodologies and safety standards.

Additional Information:

• The successful candidate will work on projects funded by Innovate UK, Horizon Europe, and industrial partners.
• Candidates near PhD submission or those recently awarded their PhD are welcome to apply.

About WMG and the University of Warwick:

WMG, the largest department at the University of Warwick, leads cutting-edge research and education programs, collaborating with industry to create innovative solutions. WMG is renowned for its expertise in verification and validation of automated transport systems.

The University of Warwick is a world-leading research institution ranked among the top universities globally. It offers a vibrant, inclusive, and diverse environment, emphasizing professional growth and societal impact.