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  Optimizing granular materials with machine learning


   School of Mathematical Sciences

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  Dr A Baule  Applications accepted all year round

About the Project

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2018 for students seeking funding, or at any point in the academic year for self-funded students. The deadline for funded applications is the 31st of January 2018.

This project will be supervised by Dr Adrian Baule.

Granular matter is ubiquitous in science and nature representing the most common state of matter after the liquid state. While granular matter seems conceptually simple, consisting of hard particles interacting solely by steric repulsion and friction, these matter states also also offer exciting new perspectives for materials design, which are only beginning to be recognized. Materials consisting of jammed athermal particles exist on all scales exhibiting varying porosity, stiffness, shear resistance, etc, which are tunable over a wide range. A deeper understanding of jamming in these systems thus opens up new opportunities to design materials with specific functionality in areas as diverse as nanoparticle aggregates and construction materials. The aim of this project is to implement machine learning strategies to identify optimal material designs from large datasets.

The application procedure is described on the School website. For further inquiries please contact Dr Adrian Baule at [Email Address Removed]. This project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. Applicants interested in the full funding will have to participate in a highly competitive selection process.


Funding Notes

This project can be also undertaken as a self-funded project, either through your own funds or through a body external to Queen Mary University of London. Self-funded applications are accepted year-round.

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. Further information is available here. We strongly encourage applications from women as they are underrepresented within the School.

We particularly welcome applicants through the China Scholarship Council Scheme.

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