Today’s technology fails to uphold expectations on how public and private data should be managed and used. This is exemplified by the innumerable breaches of private consumer data. The immediate response has been to increase oversight and penalties regarding the collection and use of data (e.g. GDPR), but perhaps the fundamental issue lies in the way data is governed and shared for analysis; shouldn’t we be able to fully control the availability of our data with other partners? Achieving this in practice requires fundamental reconsideration of design principles for data intensive systems, as well as new data persistence and processing technologies to address privacy, governance, and accountability of what, how, when and why data is analysed.
The Universities of York (UK) and Maastricht (Netherlands) have embarked on a joint research and education programme in this area, focused on responsible data science by design. As part of this programme, in this position at the University of York, you will investigate the challenges and opportunities of moving, storing, and accessing personal (or otherwise sensitive) information, from centralised databases, which are vulnerable to large-scale data leaks, theft, and irresponsible data mining, to data vaults stored in end-user devices that comply to the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. You will also participate in the development of the educational side of the programme by contributing to the design of relevant postgraduate courses, and to the development of proposals for additional projects in this area. The duration of this appointment is 12 months, with a possible extension of one more year conditional to the progress of the project.
This post is available on a fixed term basis for 12 months
Interview date: TBC - January 2020
For informal enquiries: please contact Professor Dimitris Kolovos on Dimitris.firstname.lastname@example.org or +44 (0) 1904 325167
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