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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith)
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are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support
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liquid argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and
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also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
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to tight and competing deadlines. Desirable Application/interview In depth knowledge of sensors used in measurement and control systems such as Lvdts, Potentiometers, Encoders and Bridge based sensors
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engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and
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in reviewing, testing, refining, and providing feedback on historical records that are automatically transcribed, coded, and linked using computer algorithms. Support the project and technical team in
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passive acoustic monitoring (AudioMoth sensors) and satellite remote sensing to understand how the Critically Endangered Great Green Macaw (Ara ambiguus) uses the landscape across seasons, and how its
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deep learning algorithms in ESRI ArcGIS or similar software. Desirable Application Proficiency with relevant specialised software and approaches (e.g., geographic information systems, high-performance
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processes that could be realised in neuromorphic hardware. The research will combine theoretical derivation and simulation-based validation, using mathematical modelling, algorithmic experimentation, and