Research Fellow in Federated Machine Learning and Blockchain

With the Centre for Vision Speech and Signal Processing (Surrey, UK)

Research Fellow in Federated Machine Learning and Blockchain
Salary range: 32,817 to 40,322 GBP (Level 4 PDRA)

The Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey seeks to recruit an outstanding postdoctoral researcher in the fields of Federated Machine Learning / Deep Learning.

Funded by the Interreg NWE Blockstart project, the post will also feed into the EPSRC research centre DECaDE: Centre for the Decentralized Digital Economy, which is exploring the fusion of Artificial Intelligence and Distributed Ledger Technology / Blockchain for exploration of decentralized platforms in the emerging data economy ( It will also contribute to the Blockstart InterregNWE project's aims of developing commercially relevant research into decentralized platforms. The expected start date is 1 May 2021.

The project will investigate federated machine learning (FML) methods, to train novel AI models (e.g. for Computer Vision or other signal processing applications) across distributed private data stores. The aim of the project is to investigate, develop and demonstrate new ways to enable FML using distributed ledgers and blockchain technology to create trusted shared AI models from private data. The successful candidate will work alongside experts in Machine Learning and Distributed Ledgers within DECaDE and the broader CVSSP centre, and interact remotely with industry collaborators to communicate research outcomes as well as potentially assist in the co-supervision of PhD students in this area.

Successful applicants will be working under supervision of Prof. John Collomosse and will benefit from the environments provided by Surrey’s Centre for Vision Speech and Signal Processing – the UK’s top ranked research centre in Machine Learning and Computer Vision with over 170 researchers.

We are looking to recruit an excellent researcher with core skills in machine learning (particularly in deep convnets) and knowledge of blockchain and distributed ledger technology (DLT). Strong software implementation skills (e.g. Python) are required to interact with other developers on the project to integrate their research into a live prototype system for trial. Applicants are expected to hold, or soon to gain, a PhD in a field closely linked to Machine Learning and Artificial Intelligence ideally with links to signal processing e.g. computer vision or audio, and be able to drive their own research direction within the scope of the project as well as have opportunity for PhD co-supervision on aligned topics.

How to Apply

For enquiries contact Prof. John Collomosse ( indicating your areas of interest and including your CV with qualification details. Apply online or download application documents and further information at University of Surrey HR/Vacancies Pages.

Closing Date

Closing date: 1 March 2021.
Interviews: week beginning 15 March 2021.
Start date: 1 May 2021.

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