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We have 57 computational materials science PhD Projects, Programmes & Scholarships for Non-European Students

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computational materials science PhD Projects, Programmes & Scholarships for Non-European Students

We have 57 computational materials science PhD Projects, Programmes & Scholarships for Non-European Students

Experimental Discovery of New Ionic Conducting Materials Towards Net-Zero Technologies

Materials that allow the rapid motion of ions are essential for the new energy technologies needed to meet the challenge of net zero, such as batteries, fuel cells and electrolysers for green hydrogen. Read more

Computational design of novel battery materials with cutting-edge techniques

Applications are invited to apply for a PhD studentship in the Theory and Simulation of Condensed Matter (TSCM) Group at King’s College London, in the computational design of next-generation battery materials, working in partnership with experimental colleagues in the cross-disciplinary ‘Net Zero Centre’. Read more

Accelerating computational materials discovery with diverse toolsets for verification and optimisation

The discovery of new functional materials to drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and a myriad of other unmet needs, is a scientific and societal grand challenge. Read more

PhD position in Materials Informatics

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab. https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. Read more

Discovery of Functional Inorganic Materials for Net Zero Applications using High-Throughput Synthesis

This project will use high-throughput solid state synthesis methods developed in the group (Hampson 2023) to accelerate the discovery of new functional inorganic (oxide) materials for applications towards net zero technologies e.g. Read more
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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

Computation-driven Design of Functional Materials

The urgent demand for new technologies has greatly exceeded the capabilities of current materials research. In the past decades, computational modelling has been playing an increasingly important role in accelerating materials discovery and innovation. Read more

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