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Are you keen to support innovation of UK weather forecasting? Do you have an established background in cloud physics research? Would you like to further your career in a world-leading atmospheric
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Research Fellow in Cloud Modelling Salary: Grade 7 (£41,064 – £48,822p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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, or equivalent PPLs. • Strong track record of publications in peer-reviewed journals commensurate with career stage. • Proficiency in Python and/or R; familiarity with high-performance and cloud computing
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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such as R/Python/Java or similar languages, and familiarity with Unix-based platforms is advantageous Experience working in cloud environments (e.g., AWS) is beneficial High motivation and willingness
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as cloud condensation nuclei and thus indirectly influence the climate. Significant support for this research is provided by the infrastructure of the National Atmospheric Observatory Košetice (NAOK
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to key, but poorly understood, physical processes and parameterisations. At Exeter, the work will focus on understanding how processes such as clouds and convection, ocean heat transport, and continental