Cambridge Centre for Research Assistants in Deep Learning Theory (Fixed Term)
Department of Computer Science and Technology, West Cambridge
Fixed-term: The funds for this post are available for 3 months.
We seek to appoint a number of Research Assistants (RA) to contribute to our research spanning areas of the theory of deep learning, robust machine learning, probabilistic deep learning and adjacent areas. The RAs 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 Prof Zoubin Ghahramani (Department of Engineering) and Dr Ferenc Huszár (Department of Computer Science and Technology).
The programme's goal is to understand and improve ML learning methods primarily by casting them in a probabilistic, information theoretic, causal inference framework. The programme is focused 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.
Successful candidates will be based at the Department of Computer Science and Technology and will work primarily with Ferenc Huszár as well as other members of Computer Science and Engineering Machine Learning Groups.