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-impact questions in environmental economics and labour economics. Key responsibilities for this role includes: Data collection, cleaning, and merging from very large-scale microdata sources (e.g., terabyte
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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of environmental economics and innovation. The successful candidate will play an integral role in supporting data-driven, policy-relevant research examining the intersection of environmental challenges and
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interventions across wastewater treatment operations. CVORR incorporates environmental, economic, technical, infrastructural, policy, and social dimensions to enable systemic and context-sensitive decision-making
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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, Environmental Sciences, or a closely related discipline. You will bring strong technical skills in building physics, dynamic thermal modelling, and environmental monitoring. Ideally, you will have experience with
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colleagues in the Departments of Civil and Environmental Engineering and Physics. If you require any further details on the role please contact Dr. Sebastian Eastham s.eastham@imperial.ac.uk For your reference
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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personal interest in experimental aerodynamics/aeroacoustics and environmentally sustainable technology is highly valued. Skills in data analysis and flow physics interpretation are essential. Ability