Postdoctoral Research Assistant

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

Applications are invited for a Postdoctoral Research Assistant position on Privacy Protocols and Machine Learning aspects of the EPSRC Databox Project (http://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 datastores 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, preferably with expertise 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 successful candidate should have a PhD or DMA equivalent degree in one of the following: Computer Science, Electronic Engineering, Mathematics. 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) would be an advantage.

This post is part of the EPSRC Databox project, a £1.5M EPSRC project led by Dr. Hamed Haddadi (QMUL) 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 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 two years starting 1 September 2017 or earlier by mutual agreement. The starting salary will be in the range of £34,183 - £38,062 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 visit the Human Resources website on http://www.jobs.qmul.ac.uk and search for reference QMUL11558.

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

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

The closing date for applications is 18 June 2017.

Interviews are expected to be held on 29-30 June 2017.

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QMUL is proud to be a London Living Wage Employer.

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