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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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mathematics, programming, and machine learning. *Interest or experience in wireless communications, signal processing, or 6G technologies. To apply, please contact the main supervisor; Dr. Zahra Mobini
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) at the master’s level (at least a 2.1 honours) in a relevant science, mathematics, or engineering discipline are especially encouraged to apply. Additional requirements: Demonstrated determination and resilience
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the investigation and realization of improved microwave probe design, data processing, and visualization techniques to provide a robust method of data analysis, flaw characterization and sizing. AI/machine learning
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CNTs via CVD using varied catalyst formulations and growth conditions. Characterize CNTs using Raman spectroscopy, SEM/TEM, and elemental analysis. Investigate the influence of catalyst impurities (e.g
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engineering applications. What you will gain Advanced training in cutting-edge characterisation techniques. Deep expertise in materials science and microstructural analysis. Collaboration with Cummins
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, the prospective student will gain skills and experience in biocides, membrane biophysics, neutron scattering and data analysis and modelling and antimicrobial assays underpinning biomaterials research, with a focus
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with experimental and theoretical scientists from chemistry and physics. For relevant papers by our team, see: Physical Review Letters 133, 1, 013201 (2024); Nature 636, 8043, 603-608 (2024); Dalton