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learning, the topology and geometry of data, or the dynamics of learning. The successful candidate should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated
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, ranging from AI to novel geometry modelling techniques. While this position is initially for a fixed term period, depending on the success of the role, opportunities will be explored to extend it beyond
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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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digital design technologies, ranging from AI to novel geometry modelling techniques. While this position is initially for a fixed term period, depending on the success of the role, opportunities will be
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you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test