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heuristic optimisation to explore and improve materials candidates-especially 2D/vdW structures-for target electronic/spintronic properties. The postdoctoral researcher will lead the development of databases
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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-driven photoelectrochemical (PEC) systems. In this position, you will apply advanced electron microscopy techniques, including STEM and FIB, to investigate the structure and behavior of catalytic
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chemical and structural manipulation, nanostructuring and interfacing materials that are identified as strategic in the roadmap for new technologies (hybrid metal-organic heterostructures, graphene-based
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characterisation techniques such as in situ scanning tunnelling microscopy. This combination will be used to investigate the structure-property relations of well-defined electrocatalyst materials as
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methods with in situ characterisation techniques such as in situ Raman spectroscopy (including SHINERS) and electrochemical mass spectrometry. This combination will be used to investigate the structure
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surfaces. -Structural and biophysical characterization: Exhaustive characterization of the coatings by advanced methods (FTIR, UV-Vis, electron microscopies, TGA, NMR/EPR spectroscopy for structural
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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the structure and behavior of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate will design and perform real-time in-situ TEM experiments using gas and liquid sample