We are seeking a Research Assistant to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to object detection.
Key Responsibilities:
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Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.
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Assist in preparing technical documentation, reports, and research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
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To undertake any other duties relevant to the programme of research.
Job Requirements:
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Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.
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Basic understanding of machine learning and computer vision principles.
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Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).
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Interest in research and willingness to learn and explore new concepts.
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Good communication skills and ability to work both independently and as part of a team.
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Strong motivation, initiative, and a passion for solving technical challenges.
We regret to inform that only shortlisted candidates will be notified.