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We have 145 computational materials science PhD Projects, Programmes & Scholarships

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computational materials science PhD Projects, Programmes & Scholarships

We have 145 computational materials science PhD Projects, Programmes & Scholarships

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

Acoustical Properties of Meta-Materials

  Research Group: Centre For Sustainable Environments
Porous materials such as foams and felts are often used to reduce noise levels. However, these materials are often ineffective at low frequencies. Read more

Computational Framework for Sustainable Materials, Manufacturing, Energy, and AI Driven Simulations

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more
Last chance to apply

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. 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

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. 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

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