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tools are need during the development of new imaging and sensing systems. With the rapid deployment of data-driven methods, repliable uncertainty quantification remains a big challenge that requires
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(SIPLab) at Heriot-Watt specializes in the design of advanced data science techniques with applications ranging from robotics to imaging and communication, in a large variety of fields including defence
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industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is
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large research project aiming to develop a new generation of computational imaging algorithms intended to deliver simultaneously precision, robustness, efficiency, and scalability of the image formation
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whilst studying the seeds of the dandelion flower. The applicant will be part of a large team of researchers at HWU and the UoE working on the manufacture and characterisation of flying performance