Research Fellow in Road User Behaviour

University of Leeds; Leeds; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

Join the University of Leeds as a Research Fellow in Road User Behaviour, investigating human interactions with automated vehicles and traffic systems. This role offers an opportunity to analyze real-world data and develop computational models, contributing to impactful traffic policies and solutions. Ideal for candidates with a background in traffic psychology or modelling, with opportunities for flexible working arrangements.

Qualifications

• Ambitious and enthusiastic researcher in human behaviour.
• Knowledgeable in advanced data analytics/models.
• Capable of working independently.

Responsibilities

• Analyze large datasets related to road user behaviour.
• Develop computational models to address traffic issues.
• Contribute to research impact in traffic safety.

Skills

Data Analytics

Computational Modelling

Education

Expertise in Traffic Psychology

Computational Methods

Job description

Research Fellow in Road User Behaviour

Are you an ambitious and enthusiastic researcher interested in human behaviour and advanced data analytics or modelling? Do you want to address complex problems like traffic safety and efficiency, from theoretical concepts to real-world applications? Join a team at the forefront of traffic psychology research, focusing on how human road users interact with each other, automated vehicles, and infrastructure.

Road transport is vital but plagued by issues such as crashes and congestion, causing social and economic losses. Improving understanding of road user behaviour through real-world data and solid theories is essential for designing effective traffic policies, infrastructure, and technological solutions.

This position is a collaboration between the School of Civil Engineering and the University of Leeds Virtuocity Centre for City Simulation. You will have the opportunity to shape your research focus, whether on analyzing large datasets or computational modelling of human behaviour.

Suitable candidates include traffic psychologists or modellers with expertise in computational methods, or those with experience in both. You will bring your knowledge to work independently while supporting the university’s emphasis on research impact, contributing to solutions in traffic safety and efficiency.

The role is based at the University of Leeds campus with potential for hybrid and flexible working arrangements.