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4th August 2024 Languages English English English We are looking for PhD Candidate in environmental analysis of a circular built environment Apply for this job See advertisement This is NTNU NTNU is
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lot of interests and investments these days. Active perception of a surrounding environment through AI relies heavily on the design of architectures and their extensive training to generate compact
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- Department of Environment Contract Limited duration Degree MSc in Mechatronics Engineering, Agriculture Engineering (not agronomy), Biosystems Engineering or Mechanical Engineering. Occupancy rate 100% Vacancy
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the UKRI rate (£19,237 for 2024/25). The start date is October 2024. The Robotics for Extreme Environments Group invites applications for a PhD studentship to develop (semi-)autonomous control of manipulator
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Project contact: Professor Peter Kelly Funding info: Home fees (2024/25) included plus an annual stipend of the research council minimum rate (set by UKRI) of £19,237 for 2024/25. Eligibility: Open to home and overseas students. Only home fees will be covered. Eligible overseas students will...
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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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. Prospective students can propose a topic within the broad field of accessibility and the built environment and/ or transport systems, or indicate an interest in an area that builds on APL’s existing work: first
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generation, particularly in high-chloride aqueous environments; a vital yet understudied aspect relevant to the UK’s GDF program. This research programme employs short-term electrochemical and long-term
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Structural materials in nuclear power plants are commonly operating at elevated temperatures in aggressive local environments and complex mechanical stress conditions. The upper temperature limit
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concern, especially in unexplored environments characterized by uncertainty. These PhD positions offer an unparalleled opportunity to advance real-time trustworthy autonomous systems. Collaboration with