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Research Associate on Mathematical and Computational Foundations of AI

University of Oxford
Oxfordshire
1 day ago
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We are seeking

a highly motivated Postdoctoral Research Associate to join the hub with a particular focus on the theme of “Understanding Decision Making”. We are interested in investigating novel architectures for models aimed at decision making, particularly in a data-driven, adaptive learning context, with fine-grained attention on reactive and deliberative sequential decision making and distinguishing between aleatoric and epistemic forms of uncertainty. We are interested in several technical competencies, and in particular on work coupling data-driven and model-driven approaches, including (but not limited to): advanced Bayesian techniques to calibrate and update models In an adaptive setup, where decisions ought to balance active learning with exploitative goals; data-driven model learning for strategic reasoning and planning; uncertainty quantification and propagation, and decision under uncertainty; formal methods techniques for reactive synthesis in presence of unreliable input/output signals and with uncertain models. The post holder will be a member of research groups within the project, with responsibility for carrying out research, to provide guidance to junior members of the research groups including research assistants, PhD students, and students on projects. The post holder will also have an opportunity to engage in teaching.This role is offered with full time hours, on a fixed-term basis until 31st January 2029. The AI Hub: About Us
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.
The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges. What We Offer
As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:
• Excellent contributory pension scheme
• 38 days annual leave (including public holidays) - pro-rata for part-time jobs
• Family leave schemes
• Cycle loan scheme and discounted public transport The successful candidate will work onsite in the Department of Computer Science buildings in central Oxford, however remote and flexible working can be considered. Diversity
Committed to equality and valuing diversity. Application Process

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