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the project under the supervision of the PI, with input from a wider project management group and a PPI steering committee. The successful candidate will have a PhD in Psychology, Social Science, Health or a
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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
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will have a PhD in Psychology, Social Science, Health or a related discipline, with experience in a range of different methodological approaches, including quantitative and qualitative research methods
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. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be
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researchers and a multidisciplinary team across institutions, contributing to the development, testing, and application of tools, datasets, and analytical methods used within the project. This role is intended
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analytical methods used within the project. This role is intended for candidates with strong technical and analytical skills who are eager to gain applied research experience in sustainable energy systems