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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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, such as household decision-making, willingness to invest, adoption of renewable energy technologies, and social acceptance of innovations. The goal of the PhD is to develop validation methods, best
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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, Sociology or related fields). The data collection is to take place in Denmark, so the PhD student must be fluent in Danish. Experience with qualitative methods is required, and related research experience
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organisation Internal Evaluation Procedures: The research school will organise a yearly formal meeting with a thesis advisory committee (TAC), where each PhD student will give an oral report on the progress
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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engagement or workshop facilitation Interest in multi-method or mixed-method research approaches Note: applicants who already hold a PhD degree will not be considered. Research Environment You will be based in
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component of the PhD program. PhD students will begin the program as a cohort and undergo onboarding together. A team of two senior scientists and two doctoral students formally represents the interests
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Akyürek (Experimental Psychology). The successful candidate should have: a keen interest in the human brain, cognition, and formal methods to investigate these. a master’s degree or equivalent in cognitive