Postdoctoral Research Assistant

Queen Mary University of London - School of Electronic Engineering & Computer Science

Applications are invited for a Postdoctoral Research Assistant position on data sensing, aggregation, and applications’ aspects of the EPSRC Databox Project (http://www.databoxproject.uk), with a particular focus on designing and building data inference and analytics algorithms and applications in conjunction with the Databox system (see https://github.com/me-box/), and supporting the applications through the initial deployments and studies. They will engage in design and conduct experiments evaluating the success of sensing and inference algorithms and methods developed, and 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 responsibilities of the role are to focus on design and development of (i) native and (ii) third-party services using the Databox, informed by the work of the project team on HCI/HDI (human-centred studies); and evaluation of mechanisms for specifying privacy requirements and determining the data flow between the Databox, app developers, and external applications.

The ideal candidate will have a high level of proficiency with data analytics, inference, and sensing, plus experience in one or more of the following areas: Conducting studies with networked systems, appropriate publication and coding experience and experience in conducting studies with users (e.g. data acquisition for user studies, smartphones or IoT systems, sensing applications, personal data, privacy, app-based studies, data mining experiments, social media, mobile sensing, and/or applied machine learning etc.). The candidate should have completed their PhD before taking up the post; this degree could be in any of the above disciplines. Experience with carrying out user studies in-the-wild, app development, networked systems, social media, privacy & security, statistical analysis and/or information theory is also welcome.

This post is part of the EPSRC Databox project, a new £1.5M EPSRC project led by Dr. Hamed Haddadi (QMUL) in collaboration with Dr. Richard Mortier (University of Cambridge) and Professors Derek McAuley, 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 QMUL EECS School can be found at http://www.eecs.qmul.ac.uk, and details about the Cognitive Science Group and Centre for Intelligent Sensing at http://cogsci.eecs.qmul.ac.uk/and http://cis.eecs.qmul.ac.uk/ respectively.

This is a full time post for 14 months (with possibility of extension) starting 1 September 2017 or as soon as feasible after this date. The starting salary will be in the range of £32,405 - £36,064 per annum inclusive of London allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan.

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

Informal enquiries should be addressed to Dr Hamed Haddadi (hamed.haddadi@qmul.ac.uk).

To apply, please click on the apply button below.

Candidates are politely requested to upload documents totalling no more than 10 pages.

Please note large documents e.g. PhD thesis/Research papers are not forwarded to the interview panel.

Interviews are expected to be held shortly after the closing date above.

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