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Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties will be to first explore the range of possible non-sulphate aerosols - mostly powdered ceramics with different coatings to allow
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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planning and conducting Zeppelin-based airborne field campaigns over European cities Perform VOC flux measurements in 2026 and compare urban emissions across different cities worldwide Work with the CHARON
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supervisors, from different universities: Dr. Georgios Tsaousoglou at DTU, and Dr. Maryam Kamgarpour at EPFL, Lausanne, Switzerland, with the opportunity to undertake an extended research stay at EPFL. Project
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motility in a dense suspension of soft particles mimicking a collection of biological cells, to characterize trypanosome swimming through elastic networks with different pore sizes and elastic properties
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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
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collegial respect and academic freedom tempered by responsibility. We develop talent by offering national/European and global networking opportunities, unique research infrastructures, and a collaborative
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systems under stress. It offers an extensive complexity science course package for doctoral students. This doctoral position presents a unique opportunity to join a cohort of other doctoral researchers in