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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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systematic literature review is essential to this role. At ODID we embrace and cherish our differences, and endeavour to be considerate and welcoming of all. You are most welcome at ODID, without the need
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cherish our differences, and endeavour to be considerate and welcoming of all. You are most welcome at ODID, without the need to hide any part of who you are. We acknowledge societal inequalities and how
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contributes to a world where differences between children and young people are understood and accepted, strengths are capitalised on, and mental health difficulties are prevented or addressed early in life
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property. From crime prevention initiatives and security training to managing VIP visits and major University events, every day brings new challenges and opportunities to make a meaningful difference. We are
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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. Your primary role will be to manage the storage and cataloguing of clinical samples from an ongoing study, as well as optimisation of immune assays to evaluate the impact of two different anti-rejection
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods