About this role
FTE: 1 (35 hours/week)
Term: Fixed (12 months until 31/08/2027)
The Research Fellows will be responsible for developing multi-modal extraction pipelines for scientific figures including images, graphs, spectra, Western blots, and heatmaps. They will implement image processing and computer vision techniques for dark data reconstruction, extract numerical data, statistical claims, and semantic relationships from text using natural language processing, and parse structured data from scientific tables.
The role requires close collaboration with two other research fellows and academics to integrate extracted features into the forensic scoring engine within the UKRI-funded project framework. The successful candidate will be expected to lead independent, high-impact research and contribute to the strategic research direction of the project, publish high-quality research in leading journals and conferences, and develop novel methodologies in the field, as well as contribute to the supervision of PhD students and the vibrant research culture of the Multimedia Communications Research Group. The candidate will also contribute to knowledge exchange, research dissemination, and broader academic activities of the department.
For any informal enquiries, please contact Professor Anil Fernando ([email protected]).
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