Research Associate in Privacy Protocols and Machine Learning

Imperial College London - Dyson School of Design Engineering, Faculty of Engineering

HR Division

Campus: South Kensington

Fixed Term for 14 months

Applications are invited for a Research Associate position on Privacy Protocols and Machine Learning aspects of the EPSRC Databox Project (www.databoxproject.uk), with a particular focus on designing, building, and implementation of efficient and scalable privacy protocols and machine learning algorithms, in conjunction with the Databox system, and supporting the applications through the deployments and studies. They will collaborate with the team to evaluate mechanisms for specifying privacy requirements and determining the data flow between the Databox internal and external applications. They will engage with the other team members in design and conduct of experiments assessing the interaction of users with exemplar apps and data from social media, mobile sensors, IoT devices, or personal record (bank accounts, health data, etc). The ideal candidate will also be able to lead our engagement activities with the Open-source Community.

The ideal candidate will have a high level of proficiency with applied machine learning and interest/expertise in privacy protocols, and ideally experience in one or more of the following areas: conducting studies with IoT and/or networked systems, conducting studies with human subjects (e.g. HCI user studies, evaluations of interactive systems, app-based studies, data mining experiments, etc.) is desired.

Candidates must have great knowledge of programming, app development, data mining. The candidate should have a PhD or DMA equivalent degree in one of the following: Computer Science, Electronic Engineering, Mathematics (or equivalent experience). Knowledge of statistical analysis methods and/or experience with relevant statistical software, familiarity with qualitative analysis methods for human studies, and the ability to design apps and/or work with external APIs such as social media, sensors (smartphone/IoT) are welcomed.

This post is part of the EPSRC Databox project, a £1.5M EPSRC project led by Dr. Hamed Haddadi (Imperial College London) in collaboration with Dr. Richard Mortier (University of Cambridge) and Professors Derek McAuley, Chris Greenhalgh, Tom Rodden, and Andy Crabtree (University of Nottingham). We will explore the development of the Databox as means of enhancing accountability and giving individuals control over the use of their personal data.). Details about the Dyson School of Design Engineering can be found at: www.imperial.ac.uk/design-engineering, and details about the project at: www.databoxproject.uk respectively.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 - £34,040 per annum.

Should you have any queries about the role, please contact:
Dr Hamed Haddadi – h.haddadi@imperial.ac.uk

For queries regarding the application process, please contact:
Sarah Wissing s.wissing@imperial.ac.uk

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