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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo
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integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced
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fully funded four-year PhD scholarship is available in CDT of Engineering Hydrogen Net Zero at Cranfield University. The scholarship is sponsored by EPSRC and the industrial partner (Hydrogen Waves Ltd
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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Type of award Studentship Managing department Faculty of Humanities Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) Successful candidates will join a dynamic
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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Application deadline: 31/07/2025 How to apply:uom.link/pgr-apply-2425 How many projects: 1 This 3.5 year PhD project is fully funded by the Strategic Doctoral Landscape Award (sDLA) Scholarships and
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Supervisory Team: Dr N.C. Townsend, Prof A. Murphy PhD Supervisor: Nick Townsend Project description: In this PhD project you will explore novel wave energy harvesting systems for maritime robotic