Research Associate on Mathematical and Computational Foundations of AI

Fixed Term contract until 31^st January 2029 to start from February 2026

Location: Wolfson Building, Parks Road, Oxford 

About the Role

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 31^st January 2029. 

The AI Hub: 

The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and computational communities, employing foundational tools to break new ground in AI, and redefine its future use to benefit science, industry, the economy and society. The Hub focusses on the mathematics and computational research foundational to AI, which could unlock new, more efficient AI systems. In particular, the Hub seeks new AI breakthroughs by employing theoretical tools from currently underexplored mathematical fields. Led by the University of Oxford and partnered with institutions and industry across the UK, the Hub brings together a diverse cohort of stakeholders. Read more about the AI Hub here: https://erlangenhub.ox.ac.uk/ 

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.

Diversity

Committed to equality and valuing diversity.

Application Process

You will be required to upload a supporting statement and an up-to-date CV as part of your online application.

Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.

While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.

The closing date for applications is midday on 8^th December 2025. Interviews are expected to be held in the week commencing 15^th December.

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