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We have 678 processing PhD Projects, Programmes & Scholarships

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processing PhD Projects, Programmes & Scholarships

We have 678 processing PhD Projects, Programmes & Scholarships

Valorisation of wet biomass wastes with carbon dioxide for sustainable fuel productions

The global wet organic waste production increases over years. It is recognised that the development of alternative, cleaner sources of fuels from wet biomass waste can help to secure energy sources and address environmental challenges. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more
Last chance to apply

Superconducting and cryogenic electric propulsion system for hydrogen-powered electric aircraft

The Department of Electronic and Electrical Engineering at the University of Bath is inviting applications for the following fully-funded PhD project, expected to commence 30 September 2024. Read more

Multimodal Large Language Models for Audio-aware Argument Extraction

Supervisory Team. Dr Rafael Mestre, Dr Stuart E. Middleton, Dr Matt Ryan. Project description. For any democratic society, access to news and engaging in online debate are critical for the public to shape opinions and make informed decisions. Read more

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