Applications are invited for a Research Associate in Computer Vision. The project aims at helping fight against illicit trafficking by empowering international police forces with the ability to discover stolen artefacts with a content-based image retrieval system. The project focuses on applying existing computer vision techniques to build an artifacts validation and verification models. The models will be trained using data samples from multiple high-risk regions to identify previously seen artifacts and from previously unsampled regions. The project is highly multidisciplinary between the Department of Archaeology and the department of Computer Science. The successful applicant will be expected to select, adapt, develop and apply deep neural network architectures for object recognition and verification using divers artefacts data samples. The model will be tasked to identify the artifact’s characteristic such as origin and type and categorise it to the most similar artifacts group provided in the data. The successful candidate is expected to lead on and contribute to the production of academic research outputs and outcomes.
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