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throughout the energy storage sector. The successful candidate will join Cohort 9 of the Faraday Institution PhD Training Programme designed to increase the knowledge, skills and aspirations of UK battery
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the wind/renewable energy training and research elements of the CDT programme. Funded by Siemens Energy and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of
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research. The ideal candidate will have a strong foundation in Python programming and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Applicants with a background in Natural
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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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record in heat transfer and heat exchangers. You will demonstrate the ability to plan, organise, and deliver complex research programmes effectively, ensuring timely and successful outcomes. Experience in
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of research with a continuous programme of practical skills training in semiconductor science, engineering and technology, and particularly suited to students from non-traditional education routes such as
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Academic requirements You must meet the minimum academic requirements for your preferred programme Nationality restrictions This funding is available to all nationalities. Application procedure Visit
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Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. Doctoral studies at Aalto University take approximately four years. What we
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design and situate research in broader literature. To use a realist approach to conduct semi-structured interviews to develop a programme theory to ascertain why, how, in what contexts, for whom and to
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise