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PhD Studentship: Human-centric generative design for absolute sustainability

University of Exeter - University of Exeter Engineering Department

Qualification Type: PhD
Location: Exeter
Funding for: UK Students
Funding amount: £20,780
Hours: Full Time
Placed On: 21st July 2025
Closes: 7th September 2025
Reference: 5572

The transition from the traditional relative perspective in engineering design and product development (“Is design A better than design B?”) towards an absolute sustainability perspective (“Is the design A sustainable?”) represents a currently challenging research topic that warrants extensive exploration and discussion. This PhD project aims to pioneer a transformative approach to sustainable design by integrating human-centric principles with nature-inspired AI-driven generative design methodologies to achieve absolute sustainability that respects planetary boundaries while fulfilling human needs. By bridging human-centric innovation, generative algorithms, and sustainability metrics, this project seeks to redefine how novel products and systems are conceived, developed, and evaluated.

You will have the opportunity to work closely with researchers on engineering design and management in the Exeter Digital Enterprise Systems (ExDES) lab and Queen’s University Belfast to

  • Explore novel methodologies for human-centric generative design, validated through case studies in sectors like engineering design,  smart manufacturing, and supply chain management, etc.
  • Develop open-source tools for integrating human-centric generative algorithms with absolute sustainability metrics into existing CAD/CAE/CAM systems.
  • Provide policy recommendations for aligning industrial design standards with planetary boundaries.

This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle Engineering, and Engineering Management. Students with interests in computational mechanics, optimization design, bioinspired design, sustainability management, machine learning, AI, uncertainty quantification, and probabilistic methods are encouraged to apply.

The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3.5 years full-time.  The student will be based at the ExDES lab, Department of Engineering, the Streatham Campus in Exeter.

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