Co-funded Studentships

The following funded or industry co-funded PhD projects are available for 2020 (click on project title for more information). There will be further projects available, so please check this page regularly.

How to Apply

For guidance on how to apply please refer to the information on the PhD Programmes page.

Application deadline: 30 September 2020
Please note that applications may close early if a suitable candidate is found before the published deadline.

Processing of Smart Porous Electro-Ceramic Transducers (ProSPECT)

Details Apply

Applications have now closed

Multiscale molecular behaviour in the zeolite catalysed methanol-to-hydrocarbons process

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Medicinal products in the environment: novel strategies reducing environmental exposure

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Aiding the transition from crude oil feedstocks to biomass: probing the behaviour of relevant hydrocarbon species in acidic zeolite cracking catalysts

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Innovative systems analysis for a zero-carbon industry

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A mechanism-guided approach to improving catalytic amine formation based on multi-nuclear operando FlowNMR

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Powering the future: understanding mechanistic pathways in electrocatalytic CO2 reduction

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Development of Sustainable Solid-supported Strong Acid Catalysts

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Catalysis^2: Synergistic Cooperativity within Bimetallic Pentalenide Complexes

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Novel polymers from sugars: synthesis, catalysis, and applications

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Catch and Release Catalysis

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Gaining Selectivity Control in Homogeneous Catalytic Ester Formation and Reduction with Multi-Nuclear High Resolution FlowNMR Spectroscopy

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Sustainable Bio-based Composite Materials

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Sequence Control via Selective Polymerization Catalysis to Tune the Degradation Properties of Poly(lactic acid), PLA

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Chemical Recycling of Plastics: A Life Cycle Approach

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Reactions in Deep Eutectic Solvents: Time-resolved studies of structure control via solvent bonding

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Sustainable Development of Non-aqueous Rheology Modifiers for the Personal Care Industry

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Rapid additive and solvent screening for morphology control in continuous crystallisation via machine learning

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Hierarchically designed piezoelectric energy harvesting materials for application in flexible systems

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Important: Please make sure to mention in the finance section of your application that you are applying for funding through the CSCT for your specified project.