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View All Vacancies Are you a skilled modeller, statistician or remote sensing expert with an interest in crop-climate modelling and analysis for the global south? Can you work in a multi
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to visit data collection sites in the tea growing regions of Kenya. About You You will be educated to doctoral level (or close to completion of PhD) in some aspect of remote sensing, agricultural engineering
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, through digital technologies. Working as part of a team, this post will investigate the development of digital innovation and data fusion approaches to combine in situ measurement with remotely sensed data
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station (HAP). Innovative radio sensing platforms for remote sensing. Radar based target classification for smart mobility and smart agriculture. Electronic defence in emerging telecommunication standards
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comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
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well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and publication of scientific articles. The post will involve remote supervision of laboratory
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statistical analysis of rip current incidents and met-ocean forcing data. You will also develop innovative methods to identify rip hazard hot spots through remote sensing and machine learning, and you will
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applications from engineers - scientists with expertise in computer engineering and/or programming and/or algorithm deployment within the aviation sector covering intelligent sensing and acquisition and
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applications in autonomous vehicles, remote sensing and intelligent robotics. The successful candidate(s) will manage their own academic research in the outlined area. They will be involved in several projects
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The Gambia who will work remotely with Prof Kat Holt’s team (see holtlab.net) to investigate transmission of Klebsiella pneumoniae in neonatal units in Africa using genomic epidemiology. The successful