PhD Studentship: Embedding Care for People and Planet? Designing Sustainable Floristry Coventry University Group in United Kingdom

This PhD studentship at Coventry University Group explores the intersection of sustainable floristry, environmental responsibility, and data-driven generative design. The project investigates how bouquet design, traditionally rooted in artisanal production and aesthetics, is increasingly shaped by environmental footprints and consumer feedback. The research will partner with a leading European online florist committed to social and environmental responsibility, leveraging technological advances to address challenges such as carbon emissions, pesticide residues, biodiversity loss, land use, labour exploitation, and climate change.

Floristry is evolving, with environmental factors like carbon, water, and biodiversity footprints now influencing product design alongside traditional considerations of aesthetics and economic value. The project aims to deconstruct and translate the relationships between people and flowers, ultimately informing the development of a data-augmented generative design system for floristry. This system will integrate insights from growers, designers, and life cycle assessments to generate bouquet concepts that embody contemporary expressions of care and sustainability.

The successful candidate will benefit from comprehensive research training, including technical, personal, and professional skills development. All researchers at Coventry University are part of the Doctoral College and Centre for Research Capability and Development, which offers high-quality training and career development activities.

Applicants must hold a minimum of a 2:1 first degree in a relevant discipline, with at least 60% in the project element or equivalent and a minimum 60% overall module average. Candidates should demonstrate the potential for innovative research and the ability to complete the PhD within 3.5 years. English language proficiency is required, with an IELTS academic overall minimum score of 7.0 and at least 6.5 in each component.

To apply, submit your application via the online portal, including full supporting documentation, a covering letter, and a 2000-word supporting statement outlining your expertise and relevance to the project. For further information, contact Professor David Bek. The application deadline is 27 May 2026.