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value: Job Description Summary Job title Postdoctoral Research Assistant Division Social Sciences Department Environmental Change Institute (ECI), School of Geography and the Environment (SoGE) Location South Parks Road, Oxford OX1 3QY Grade 7: £38,674 -£46,913 per annum Grade and salary Hours A less experienced candidate may be appointed at Grade 6 (£34,982 - £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties. Full time Contract type Fixed-term from 1 March 2025 – 15 February 2028 Reporting to Titular Associate Professor Dr. Jesús Aguirre Gutiérrez Vacancy reference 177167 Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE are committed to equality and values diversity. Additional information The School of Geography and the Environment holds an Athena Swan Silver award in recognition of our commitment and success in addressing gender equality. The School of Geography and the Environment is committed to promoting a culture of equality, diversity, and inclusion in the workplace, including the undertaking of appropriate training as opportunities arise and/or when asked to do so The role We are seeking a researcher that is enthusiastic about fieldwork and with expertise in remote sensing data collection and application to assess ecological function and diversity in tropical forests. The ideal candidate will have both remote sensing skills and hands-on experience in ecological fieldwork. They will join the Biodiversity and Earth Observation Lab within the larger Biodiversity and Ecosystems Programme at the Environmental Change Institute. This position involves transdisciplinary research as part of an international collaborative programme combining Ecology and Remote Sensing to understand and quantify tropical forest responses to environmental change. The position includes several field trips across tropical regions t…
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POSTDOCTORAL RESEARCH ASSISTANT
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comment: **Postdoctoral Research Assistant** We are seeking a researcher that is enthusiastic about fieldwork and with expertise in remote sensing data collection and application to assess ecological function and diversity in tropical forests. The ideal candidate will have both remote sensing skills and hands-on experience in ecological fieldwork. They will join the Biodiversity and Earth Observation Lab within the larger Biodiversity and Ecosystems Programme at the Environmental Change Institute. This position involves transdisciplinary research as part of an international collaborative programme combining Ecology and Remote Sensing to understand and quantify tropical forest responses to environmental change. The position includes several field trips across tropical regions to gather data and collaborate with local partners. Fieldwork will focus on data collection from permanent vegetation plots, capturing spectral and vegetation structure data (LiDAR) via drones, and potentially preparing workshops for collaborators in the UK and abroad. **Key activities will include** 1. **Exploring Earth Observation Sensors:** Utilize the latest Earth Observation tools (e.g., high-resolution multispectral data from Planet, drone-based LiDAR) to enhance mapping of ecosystem structure, function, and biodiversity metrics. 2. **Drone Imagery Analysis:** Collect and analyse drone imagery to map biodiversity and ecosystem conditions on a fine scale, refining and validating satellite products. 3. **Collaboration on Machine-Learning Models:** Work with experts in machine learning and computer science to map vegetation structure (e.g., height, canopy cover) on a larger scale. 4. **Integration of Remote Sensing Metrics:** Develop products describing ecosystem health using metrics derived from remote sensing. The initial focus will be on the effects of biodiversity on forest resilience across tropical regions, closely collaborating with machine-learning specialists to apply cutting-edge techniques …
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spatial: Environmental Change Institute (ECI), School of Geography and the Environment (SoGE), South Parks Road, Oxford OX1 3QY
application closing date: 2025-01-31T00:00:00+00:00
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further particulars: Job Description
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comment: Postdoctoral Research Assistant We are seeking a researcher that is enthusiastic about fieldwork and with expertise in remote sensing data collection and application to assess ecological function and diversity in tropical forests. The ideal candidate will have both remote sensing skills and hands-on experience in ecological fieldwork. They will join the Biodiversity and Earth Observation Lab within the larger Biodiversity and Ecosystems Programme at the Environmental Change Institute. This position involves transdisciplinary research as part of an international collaborative programme combining Ecology and Remote Sensing to understand and quantify tropical forest responses to environmental change. The position includes several field trips across tropical regions to gather data and collaborate with local partners. Fieldwork will focus on data collection from permanent vegetation plots, capturing spectral and vegetation structure data (LiDAR) via drones, and potentially preparing workshops for collaborators in the UK and abroad. Key activities will include 1. Exploring Earth Observation Sensors: Utilize the latest Earth Observation tools (e.g., high-resolution multispectral data from Planet, drone-based LiDAR) to enhance mapping of ecosystem structure, function, and biodiversity metrics. 2. Drone Imagery Analysis: Collect and analyse drone imagery to map biodiversity and ecosystem conditions on a fine scale, refining and validating satellite products. 3. Collaboration on Machine-Learning Models: Work with experts in machine learning and computer science to map vegetation structure (e.g., height, canopy cover) on a larger scale. 4. Integration of Remote Sensing Metrics: Develop products describing ecosystem health using metrics derived from remote sensing. The initial focus will be on the effects of biodiversity on forest resilience across tropical regions, closely collaborating with machine-learning specialists to apply cutting-edge techniques for identifying ecosyste…
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application opening date: 2024-12-19T00:00:00+00:00
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