Research Associate/Fellow Safe Human AI Teaming

Role Description

Department

This role will give you the opportunity to advance state-of-art and empirical research in safe Artificial Intelligence (AI) and Autonomous Systems (AS) in a range of application domains including autonomous driving and healthcare. You will be key to establishing a new Centre, building on the work of the Assuring Autonomy International Programme (AAIP), which pioneered approaches to assuring autonomous systems and their machine learning (ML) components.

Role

You will be researching safe human-AI teaming. This will include developing and evaluating different models of human-AI teaming for both AI-based decision support systems (e.g. for clinical diagnosis) and AI-enabled robotic systems (e.g. autonomous delivery robots). Topics of interest are:

• Joint cognitive systems
• Human oversight, situational awareness and effective AI-human handovers
• Human-centred AI explanations
• Biases that affect the safety and performance of human-AI teams
• Function allocation and cohesion within human-AI teams

This is an inherently interdisciplinary research area and will require you to work closely and effectively with other team members and be able to explain your research clearly and precisely. You will evaluate your research through in-depth case studies, requiring close collaboration with industrial and regulatory partners.

Skills, Experience & Qualification needed

• First degree in Computer Science, Psychology, or cognate discipline
• PhD in Computer Science, Psychology, Human-Computer Interaction, Human Factors or equivalent experience
• In-depth knowledge of Human-Computer Interaction and/or Human Factors
• Ability to learn and adapt safety analysis and assurance techniques
• Experience of developing and conducting research studies for AI or robotics systems
• Experience of building and evaluating HCI prototypes
• Ability to work as part of a diverse and multidisciplinary team

Interview date: To be confirmed

For informal enquiries: please contact Professor Ibrahim Habli on [email protected]

The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

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