Research Associate Privacy Protocols And Machine Learning Jobs Vacancy at Imperial College London London
- Research Associate Privacy Protocols And Machine Learning
- Imperial College London
- London ENG
- 13 Sep, 2017 9 days ago
Imperial College London London urgently required following position for Research Associate Privacy Protocols And Machine Learning. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.
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Research Associate Privacy Protocols And Machine Learning Jobs Vacancy at Imperial College London London Jobs Details:
South Kensington Campus
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 ( 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 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 http://www.imperial.ac.uk/design-engineering/, and details about the project at
- 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.
Dr Hamed Haddadi - firstname.lastname@example.org
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Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people. Closing Date
12 October 2017 (midnight BST)