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, three PhD students and a postdoctoral researcher. The project is led by Dr. Yiren Zhao at Imperial College, who is supported by Prof. George Constantinides and Prof. Wayne Luk. The team also includes Dr
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. This may include lecturing, small group teaching, and tutoring of undergraduates and graduate students. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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research and teaching. This is part of your personality: Completed doctoral/PhD studies in psychology or a related subject Proven research competence and initiative through publications in peer-reviewed
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presenting papers and posters will be part of the role. You must hold, or be close to completion of, a relevant PhD/DPhil, together with relevant experience. You will have previous experience of contributing
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are looking for candidates to have the following skills and experience: Essential criteria PhD in either human geography or a cognate discipline in the social sciences, or in the arts (e.g. applied arts
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will have or be close to completion of a PhD/DPhil in Health Economics or related quantitative discipline, OR have a Master’s degree in Health Economics* or related quantitative discipline along with
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ambitious who has obtained their PhD, has a strong portfolio of design practice and has begun an academic career in health research. The post holder will provide guidance to junior members of the research
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to other members of the group on health economic methodologies or procedures. About You You will have or be close to completion of a PhD/DPhil in Health Economics or related quantitative discipline, OR have