Research Associate/Fellow

University of Nottingham - Computer Science

Location: Jubilee Campus

Applications are invited for a Research Fellow in the UnBias project.

We seek for a highly motivated and creative candidate with experience in qualitative methods. The candidate should be able to work both independently and collaboratively and meet tight deadlines. Excellent communication skills, allowing effective work within distributed, multidisciplinary teams, are crucial. Candidates will be expected to disseminate research results in peer-reviewed journals and conferences.

The candidate will contribute to an on-going project funded by EPSRC: ‘UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy’ (EP/N02785X/1). UnBias is a highly interdisciplinary and collaborative project between Nottingham, Oxford, and Edinburgh that aims to emancipate users against algorithmic biases for a trusted digital economy, with a particular focus on young people. Contrary to public opinion, young people care about their personal data and want a digital world more transparent, a digital world they can trust. For example, little is known about how Amazon is able to tailor advertisements and recommend products, or how Facebook decides which news Facebook users may be more inclined to read.

Working closely together with young digital natives, unBias will study their attitudes and main concerns, and identify youth-led solutions for teaching critical thinking toward digital information systems. The main envisioned overall outcome of the project will be a 'fairness toolkit' that will include educational materials and resources co-designed to support youth understanding about online environments as well as raise awareness among online providers about the concerns and rights of young internet users.

Within the project, the focus of the position at Nottingham will be on the analysis and interpretation of textual data derived from a series of ‘Youth Juries’ workshops with 13-17 year old to identify concerns and desires about how online information is being filtered by algorithms. The outcome of these juries will inform the co-production of educational materials on properties of information filtering/recommendation algorithms. The candidate is expected to closely liaise with the research team and provide support and expert guidance on qualitative methods. The post will be held at Horizon Digital Economy Institute (www.horizon.ac.uk) within the School of Computer Science at The University of Nottingham.

The School of Computer Science holds an Athena Swan Bronze Award, demonstrating our commitment to provide equal opportunities and to advancing the representation of women in STEM subjects: science, technology, engineering and mathematics. Due consideration will be given to applicants who have taken a career break.

The post is available from 1st October 2017 for 12 months (until 30th September 2018) and the deadline for applications is 1st of September 2017. Interviews will be scheduled for the 14th of September 2017.

Job share arrangements may be considered for this post.

Informal enquiries may be address to Dr Elvira Perez Vallejos, tel: (+44) 078 8128 0369 or email Elvira.Perez@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.

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