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demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
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working on a collaborative project jointly with the University of Bath and our industrial partner, aiming to improve the sustainability of chemical and polymer production by system-level modelling and
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monitoring and control tools for increasing reliability, accuracy and productivity of metallic AM technologies. Develop and utilise AM process models at multi-scales. Utilise 3D Printers for polymer printing
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role model for colleagues, whilst encouraging a culture of respect and understanding by building trust with individuals and teams, along with handling difficult situations calmly and effectively
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model-driven and AI-based approaches to image reconstruction. The candidates will be able to adapt and test their methods in cohorts of infants and/or paediatric and/or adult patients with lung disease
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will combine the above-mentioned techniques to characterise the mechanical competence of paediatric bones and to provide a unique dataset to inform and validate computational models that aim
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manufactured alloys, including aluminium. Models that correlate the manufacturing process to the part surface roughness and microstructure will be developed. The work will complement an overarching framework
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global castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design
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intelligence in models that can control the AM process parameters for more optimised microstructures. Integrate modelling data, coupled with experimentally generated process data, to create hybrid control models
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Powder Bed Fusion (LPBF) builds and providing feedback to control model development. Ensuring that the methodologies developed are transferrable between LPBF platforms and partners will be a key aspect of