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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.
The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.
- Supports and connects the growing data science and AI research community
- Builds research capacity in data science and AI to tackle complex issues
- Drives new research challenges through collaborative research projects
- Promotes and provides opportunities for knowledge transfer
- Identifies and provides training courses for students, academics, industry and the third sector
- Acts as a gateway for external organisations