Post-doctoral Research Fellow (Transforming Collections)

The opportunity

We are seeking a Post-doctoral Research Fellow (PDRF) with experience designing and building Machine Learning (ML) systems for end users to work on the 3-year research project funded by the AHRC's Towards a National Collection programme, Transforming Collections: Reimagining Art, Nation and Heritage. 

As PDRF, you will report to Co-Investigators based at UAL’s Creative Computing Institute (CCI), working towards the design and development of Machine Learning (ML) systems for end-users through interaction with partners from 15 collections. You will collaborate with Co-Investigators across other strands of the project in order to synthesise outcomes and support the design and delivery of participatory workshops/seminars with Project Partners, Collaborating Organisations and diverse stakeholders, integrating findings from these workshops into the design of new tools. You will have responsibility for developing and maintaining ML software and interfaces using Git, and academic reporting (e.g. conference/symposium papers and journal articles).

You will participate in regular project team meetings and a peer support network of the project’s researchers, developing interdisciplinary research expertise and develop skills and experience in collaborative, ethical and participatory workshop design and delivery. You will present and/or publish case studies in progress through the local, national and international spaces and networks generated by the project.

About you

You have a PhD in a relevant area of arts, design, communication or related area, with an excellent record of research dissemination (e.g. through exhibition, performance, publication and conference presentation).  

You will have the ability to lead the academic and/or professional development of your own area of expertise and to communicate ideas clearly and persuasively, summarising and interpreting complex, conceptual and specialist matters/information accurately.  

You will have experience of designing and building ML systems for real-world use by end users who are not ML experts, for instance in application domains such as the Arts, Digital Humanities, Healthcare, Accessibility, etc.  

You will have experience in building and training ML models for Natural Language Processing and/or Media (sound/image) analysis using Python, and experience integrating user centred design outcomes into the development and evaluation of new technologies. 

Applicants are asked to provide links to any software they have been involved in developing and/or to any published research they have in a supporting document as part of their application.

Should you have any queries please contact us on RKEE staffrecruitment@arts.ac.uk