Research Fellow

An enthusiastic, creative, and motivated postdoctoral Research Fellow is sought to join the SARA project within the School of Natural and Computing Sciences to contribute to the delivery of a semi-automated toolkit to improve risk assessment and monitoring of health data releases for research.

SARA: Semi-Automated Risk Assessment of Data Provenance and Clinical Free-Text in Trusted Research Environments (TREs) is a DARE UK-funded project which aims to prototype a semi-automated risk assessment toolkit for all health providers across the UK, based on the principles of data provenance and privacy assessment.  Following a human-centred design approach is essential to addressing design challenges and ensuring the prototype meets the needs and expectations of the users.

The research fellow will join an interdisciplinary team and contribute to the project by carrying out user research tasks to inform prototype design. The research fellow will conduct interviews and participatory design sessions to identify user perspectives, preferences, and priorities. Based on the findings, the research fellow will create low fidelity designs which capture user interfaces for provenance data collection and visualisation, to maximise the utility of provenance information in the context of error prevention and trustworthiness of produced assets. In addition, the research fellow will design and conduct evaluation experiments for the prototype and contribute to the dissemination of project outputs. The appointee will also provide technical support for various project events such as community workshops and outreach activities.

The ideal candidate will have a strong background in human-computer interaction and direct experience in conducting qualitative research and applying human-centred design methods. Enthusiasm for digital technology and innovation relevant to society, as is the ability to work as part of an interdisciplinary team.

Salary will be at the appropriate point on Grade 6,  £35,333 - £42,155 per annum with placement according to qualifications and experience. This will be pro rata for 80% FTE, 30 hours per week.

Informal enquiries should be made to Ana Ciocarlan, Lecturer in Computing Science, e-mail:  a.ciocarlan@abdn.ac.uk

This post does not meet the minimum requirements for visa sponsorship under the Skilled Worker Route. We are therefore unable to consider applicants for this post that require sponsorship to work in the UK. 

To apply online for this position visit www.abdn.ac.uk/jobs

Job Reference Number:  NCS207R

The closing date for the receipt of applications is 06 February 2023

The School of Natural and Computing Sciences embraces a diverse working environment and recognises the many benefits this can bring.  Applications from individuals from across all the equality protected characteristics are encouraged.

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