Are you passionate about fundamental artificial intelligence research to address real-world science applications? Does building novel AI solutions from first principles that contribute to preventing, modifying, and even curing some of the world's most complex diseases inspire you? Do you thrive working in a supportive, inclusive environment where creativity, collaboration across disciplines and lifelong learning towards innovative breakthroughs are encouraged? If yes, this opportunity may be for you.

We are looking for people with both hands-on practical experience and deep theoretical knowledge in fundamental research areas such reasoning, causal inference, deep learning, reinforcement learning, world models, non-convex optimisation, statistical inference, probability theory, computational geometry, multi-task learning, representation learning, multi-scale modelling, multi-property optimization, natural language processing, control theory, meta-learning, category theory, comp...