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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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EPSRC Doctoral Landscape Award: Embedded power electronics converters design for future electric vehicles Applicants are invited for a 4-year EPSRC Doctoral Landscape Award PhD programme, co
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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countries subject to trade sanctions, arms embargoes and other trade restrictions (https://www.gov.uk/guidance/current-arms-embargoes-and-other-restrictions ). Award Value Course fees are covered for home
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: search for the ‘Course Title’ using the programme code: 8060F. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project
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degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
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, current models only predict the potential for events rather than actual specific landslide occurrence. These models also struggle to directly quantify landslide hazards and to address key characteristics