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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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control offered by light, you will develop new pathways to convert persistent plastic materials under mild conditions. Are you our next PhD candidate in sustainable polymer chemistry and photocatalysis
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, Chemical Engineering or related fields; excellent skills in organic synthesis, polymer synthesis and chemical characterization; interest in the material characterization of recyclable networks (rheology, DMA
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-responsive polymers, coatings, fibres, engineering plastics and biomedical materials. Growing focus on the use of artificial intelligence techniques to support and accelerate the experimental work, e.g. data
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packaging. Training and research environment The student will join a research group working across sustainable polymers, plastic recycling, polymer characterisation and data-driven materials analysis
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develop new pathways to convert persistent plastic materials under mild conditions. Are you our next PhD candidate in sustainable polymer chemistry and photocatalysis? Your research challenge In this PhD
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, the requisites for this position are: MSc degree in Chemical Engineering, Polymer Science, Materials Science, or a related field. Strong background in polymer rheology and physics, demonstrated for example through
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. Together, these mechanisms strongly influence the long-term behaviour and durability of these engineering plastics. This PhD project aims to investigate the mechanisms governing the long-term evolution
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, and interested in an international research environment. Furthermore, the requisites for this position are: MSc degree in Chemical Engineering, Polymer Science, Materials Science, or a related field
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materials by uncovering how we can recover more and better plastics from end‑of‑life vehicles and electronic waste. As a PhD candidate in the RePlaCE project, you’ll combine analytical insight with real‑world