products may promote the development of resistant microorganisms. This environmental contribution has significant implications for human health, food security, and aquatic ecosystems.

This interdisciplinary PhD project will investigate how environmental factors influence the evolution of antimicrobial resistance. In particular, it will explore how chemical conditions in natural and impacted water systems may shape the diversity and behaviour of resistance mechanisms. By building on recent advances in understanding how environmental conditions affect resistance enzymes, the project aims to uncover links between environmental variation and the emergence of adaptive mutations.

The student will combine computational and experimental approaches. At Peking University, they will work with large-scale environmental metagenomic datasets to analyse patterns of resistance genes across diverse environments. Using bioinformatics tools, they will identify variation in resistance-associated sequences and explore potential relationships with environmental conditions.

At the University of Manchester, selected targets will be investigated experimentally using molecular biology, biochemical assays, and structural biology techniques. This will enable detailed characterisation of how genetic variation influences enzyme function and stability. Overall, the project will provide new insights into how environmental factors contribute to the development of antimicrobial resistance, linking large-scale ecosystem data with molecular-level understanding.

This dual-degree programme offers a unique training opportunity across two leading international research environments. The student will gain expertise in environmental science, bioinformatics, and molecular bioscience, developing a highly interdisciplinary skill set suited to tackling complex global challenges.

products may promote the development of resistant microorganisms. This environmental contribution has significant implications for human health, food security, and aquatic ecosystems.

This interdisciplinary PhD project will investigate how environmental factors influence the evolution of antimicrobial resistance. In particular, it will explore how chemical conditions in natural and impacted water systems may shape the diversity and behaviour of resistance mechanisms. By building on recent advances in understanding how environmental conditions affect resistance enzymes, the project aims to uncover links between environmental variation and the emergence of adaptive mutations.

The student will combine computational and experimental approaches. At Peking University, they will work with large-scale environmental metagenomic datasets to analyse patterns of resistance genes across diverse environments. Using bioinformatics tools, they will identify variation in resistance-associated sequences and explore potential relationships with environmental conditions.

At the University of Manchester, selected targets will be investigated experimentally using molecular biology, biochemical assays, and structural biology techniques. This will enable detailed characterisation of how genetic variation influences enzyme function and stability. Overall, the project will provide new insights into how environmental factors contribute to the development of antimicrobial resistance, linking large-scale ecosystem data with molecular-level understanding.

This dual-degree programme offers a unique training opportunity across two leading international research environments. The student will gain expertise in environmental science, bioinformatics, and molecular bioscience, developing a highly interdisciplinary skill set suited to tackling complex global challenges.