Research Associate in Machine Learning for Brain fMRI

University of Sheffield - Department of Computer Science

The Department of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research. Much of our research spans the boundaries between engineering, medicine, and the life sciences. Research in the Department is organised into a number of groups: Machine learning, Algorithms, Complex systems modelling, Natural language processing, Speech and hearing, Organisations, information and knowledge (OAK), Verification and testing, Visual computing, and Security of Advanced Systems. We attract substantial external funding from UK Research Councils, the European Union, and industry. Our record for leadership in collaborative research is outstanding, particularly in European programmes. The Department is currently host to two ERC fellows and three EPSRC fellows. More information on the Department of Computer Science can be found at

We welcome applications for a one-year postdoctoral Research Associate position in Machine Learning for Brain fMRI Data, under the EPSRC project “Learning Sparse Features from 4D fMRI Data for Brain Disease Diagnosis”. This project is led by Dr Haiping Lu, a leading scholar in tensor-based machine learning, in collaboration with a brain-imaging expert in Oxford University. You will develop new sparse feature learning models and algorithms for tensor data, particularly whole-brain fMRI data to help brain disease diagnosis. We will generalise vector-based sparse feature learning methods such as lasso extensions to tensors along well-identified research directions to improve prediction and interpretation. These advancements will have broad impacts in machine learning, brain imaging, and related areas.

You will hold a PhD in Computer Science or a related area with a solid background in mathematics/statistics, excellent programming skills, experience in developing/applying machine learning methods to real data, and keen interest in high-impact research.

The post is fixed-term for 12 months.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching, and student experience.

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Northern England