|£36,024 (restricted due to funding).
|24th November 2023
|5th January 2024
FTE: 1 (35 hours/week)
Term: Fixed Term (20 months)
To undertake a specific research project under the general guidance of a research leader; to establish a personal research portfolio and plan research, with assistance from senior colleagues as required; to engage where required in relevant professional and knowledge exchange activities; and input to administrative activities.
The Human Centric AI research group in the Department of Computer and Information Sciences, University of Strathclyde has been actively engaged in research in AI fundamentals, human factors in AI and the application of AI to a range of application domains including healthcare. This post is particularly associated with work on a newly funded external project by EPSRC. The research will investigate novel causal counterfactual visualisation, which will, in contrast to the direct visualisation of real data, render causal counterfactual examples that did not occur in reality. Visualising concrete counterfactual exemplars will allow decision makers to view key information to contest their decisions to gain insights. We will evaluate the technology in the context of health decision making. We will work jointly with researchers from NHS. The counterfactuals will be generated by AI causal models through training with real data.
General skills we are interested in cover data analysis, machine learning, visualization, human computer interaction and cloud computing. Skills that will be particularly welcome include causality learning and visual analytics, though expertise in other computing areas such as medical image processing could also be helpful.
As a Research Associate, under the general guidance of a research leader, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources of funding, and contribute to the securing of funds for research, including drafting grant proposals and planning for future proposals. You will write up research work for publication, individually or in collaboration with colleagues, and disseminate the results via peer reviewed journal publications and presentation at conferences. You will join external networks to share information and ideas, inform the development of research objectives and to identify potential sources of funding. You will contribute in a developing capacity to Department, Faculty and University administrative and management functions and committees and engage in continuous professional development.
To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline, or have significant relevant experience in addition to a relevant degree. You will have sufficient breadth or depth of knowledge in machine learning, visualization and a developing ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.
Informal enquiries about the post can be directed to Feng Dong, Professor, CIS (email@example.com).
Formal interviews for this post will be held in January.
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