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We have 16 University of Liverpool Computational Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

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Chemistry

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University of Liverpool

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I am a self funded student


University of Liverpool Computational Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

We have 16 University of Liverpool Computational Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

Development of NMR Methods for the Study of Dynamics in Solids

One fully funded PhD studentship is available in the area of nuclear magnetic resonance (NMR) of solids. The position is available for 42-months starting in October 2024. Read more

Deploying safer robot chemists in real laboratory environments

Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. Read more

Predictive molecular models of high-performance elastomers in demanding environments

High-performance elastomers enable some of the most sophisticated modern technology. They are designed to operate in the often-punishing environments such as those encountered in aerospace industries. 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

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