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degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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experience) in a relevant discipline (biomedical engineering, computer science, medical physics) or an overseas qualification of an equivalent standard. Candidates will need to demonstrate significant research
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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candidate position must fulfil the requirements for doctoral students at Aalto University, School of Engineering. For more details, see: Aalto Doctoral Programme in Engineering What we offer We are pleased
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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Research Infrastructure? No Offer Description Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical
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treatments. COMSOL finite element modelling software will be used to optimise and tailor the application of electrochemical gradients at engineering surfaces, representative of pond furniture. This allows
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical