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these psychological constructs into formal computational rules suitable for agent-based modelling. The PhD student will ensure that formalisations remain faithful to the underlying psychological theory—a translational
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the following areas: (1) cryptography, (2) Privacy-enhancing technologies, such as FL, (3) mathematics (including number theory and game theory), (4) machine learning, and (4) computer programming in C++, Java
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working