Our research is at the forefront of developing new applications, investigating the foundations, and exploring the risks and the opportunities of AI and machine learning. Our AI research is supported through the university’s Digital Environment Research Institute (DERI) and our institutional membership at The Alan Turing Institute. We are seeking staff in several areas related to AI foundations, including; mathematical and statistical foundations of AI/machine learning; reinforcement learning; causal AI; explainable AI; physics-informed neural networks; AI efficiency; and foundation models.
Examples of QM staff working in this field:
Research Centre: Centre for Multimodal AI; Centre for Probability, Statistics and Data Science