Research Associate/SRA in Deep Learning Theory (Fixed Term) (Fixed Term)
Department of Computer Science and Technology
The Department of Computer Science and Technology seek to appoint an independent researcher to develop and drive a research program in the theory of deep learning, robust machine learning, probabilistic deep learning or adjacent areas. This position will contribute to the research programme "Advancing Modern Data-Driven Robust AI", which is funded by UKRI through a Turing AI World-Leading Fellowship led by co-investigators Professor Zoubin Ghahramani (Department of Engineering) and Dr Ferenc Huszár (Department of Computer Science and Technology).
The programme's goal is to understand and improve modern machine learning methods primarily by casting them in a probabilistic, information theoretic, causal inference framework. More specifically, the programme is focussed on four areas: (1) Robustness; (2) Integrating symbolic and statistical frameworks; (3) Scalable probabilistic inference methods and (4) A Theory of Generalisation and Transfer Learning. For this position, preference will be to select applicants whose expertise is on the Theory of Generalisation and Transfer Learning in Deep Learning.