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meaningful insights that support resilient and sustainable energy futures. The team This role will report to Associate Professor Dr Ruidong Chang and sit within the School of Civil Engineering and Construction
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-enabled approaches to understand atomic-scale structures, defects and structure-property relationships in advanced materials, contributing to next-generation materials discovery. The successful candidate
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interfacial reaction mechanisms demonstrated proficiency in DFT and at least one major electronic-structure package (for example VASP, Quantum ESPRESSO, CP2K, GPAW or equivalent) strong Python, ASE, Linux/HPC
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electrical, electromagnetic and materials characterisation of 3D- and 4D-printed materials and structures relevant to microwave applications. Perform hands-on fabrication, integration and experimental testing
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of fabrication processes. Conduct electrical, electromagnetic and materials characterisation of 3D- and 4D-printed materials and structures relevant to microwave applications. Perform hands-on fabrication
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arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and explore new mathematical directions
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of senior academic staff, and they will assist in the development and management of research activities that use structural and functional magnetic resonance imaging and positron emission tomography
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reduction for data with complex structures, including but not limited to, multi-way clustered, spatial-temporal, and network dependence. The successful applicant will be jointly supervised by CIs Linh Nghiem
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of statistical dimension reduction for data with complex structures, including but not limited to, multi-way clustered, spatial-temporal, and network dependence. The successful applicant will be jointly supervised