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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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and real-time controller. Support validation using HIL platforms, dynamometer testing and environmental characterisation data, as required by the project plan. Work collaboratively with academic and
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related fields. Pre-doctoral Research Assistants previously working on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant
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. This will consist of an interview. We plan to let candidates know if they have progressed to the selection stage on the week commencing 28.09.2026. If you need any support, equipment or adjustments to enable
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of large volcanic landslides. We are looking for someone with a PhD in geophysical mass flows or granular physics, strong scientific programming skills, field experience on debris avalanches or comparable
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. You will contribute to the UKRI-supported Centre for Heterogeneous Integrated Micro Electronic and Semiconductor Systems (CHIMES²) programme. CHIMES² is funded by the Department for Science, Innovation
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the ARIA (UK Advanced Research + Invention Agency) Robot Dexterity Programme, and is a collaboration with University College London, INESC Microssistemas e Nanotecnologias (Portugal) and Universidad de
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, environmental science, and industrial innovation. The project aims to advance a patented NTP technology for the treatment of a complex waste stream and solids. The research forms part of a broader programme of
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laboratory Publish and present your results at leading international venues, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of
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tracking of wearables. The post holder must have advanced programming and modelling expertise, particularly relating to computational models of behaviour and eye-tracking using a broad range of approaches