This PhD project investigates how human decision-making and cognitive biases influence the earliest stages of engineering design—when ideas are first formed, and critical decisions shape the future of innovation. You will explore how professionals interpret user needs and convert them into design requirements, and how cognitive biases can distort this process.
The goal is to inform the development of next-generation, AI-powered design tools that are aware of and responsive to human biases—tools that actively support creativity, inclusivity, and environmental sustainability in conceptual design.
Qualifications
We are looking for candidates who have:
* A first-class or upper second-class UK Honours degree, or international equivalent, in engineering, design, computer science, human factors, statistics, or a related field
* A strong and genuine interest in the topic, demonstrated through previous degrees, projects, or work experience
* Strong critical thinking, communication (written and oral), collaboration, and independent working skills
* If English isn't your first language, an IELTS score of 6.5 or equivalent, with no individual score below 5.5
Preferably, candidates will also have:
* A solid understanding of design processes, decision-making, or human factors
* Familiarity with quantitative research design and analysis
* Basic knowledge of cognitive psychology, behavioral science, or human-AI collaboration
* Experience with data analysis tools such as Python, R, or SPSS
* Experience conducting empirical research in interdisciplinary projects
For further details, please visit: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/engineering/designmanufacturingengineeringmanagement/cognitivebiasesinconceptualdesigntheroleofaiandindividuals/#contactus
Seniority level
Internship
Employment type
Full-time
Job function
Education and Training
Industries
Higher Education
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