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proficiency and appetite for energy transition analysis and policy-relevant, multi-disciplinary research. Direct experience with energy systems models is required, and candidates experienced in energy systems
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climate regeneration and Nature-based Solutions in deprived areas through the development of innovative co-analysis, co-design, and co-monitoring tools and methodologies for engaging with the community
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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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approval, survey dissemination, analysis of findings and drafting of working papers and other outputs. Applicants must have proven experience of conducting online survey work and must demonstrate relevant
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the design and delivery of other data yet to be collected, such as citizen focus groups, as well as the analysis of this data. Application materials: Cover letter (max 2 pages), Including Writing sample
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are also investigated. Work includes for desktop analyses such as chemical kinetic modelling, process simulation, geographic specific bioresources, Life Cycle Analysis, sustainability analyses, techno
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of the complex networks that the project uncovers. They will be expected to carry out high-level research related to the aims of the research project, submitting publications regularly to refereed journals and
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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experience, in research with optical cavities, gas handling, relevant data analysis, report and proposal writing is highly desirable. Know-how in atmospheric sciences will be an advantage. Previous experience