Research Fellow

**Job Description**
This Research Fellow position is within a university-level research centre, collaborating with industry, to contribute to a project focused on data-efficient object detection. The role involves independent research using techniques such as few-shot learning, transfer learning, and image synthesis, alongside producing reports and publications.

**Skills & Abilities**
• Strong background in machine learning and computer vision
• Prior experience in data-efficient classification, synthesis, and detection (preferable)
• Strong publication records in top-tier machine learning or computer vision conferences/journals (e.g., TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML)
• Strong coding skills in scientific or engineering software (e.g., PyTorch, TensorFlow, Keras)
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents
• Strong background in R&D with self-motivation and initiative
• Ability to develop and manage R&D projects with good understanding of industrial needs
• Strong research and technical expertise in the project domain, including experimental design, modelling methods, prototype system engineering, and laboratory work
• Demonstrated ability to conduct innovative and hypothesis-driven research
• Collaborative and supervisory capabilities, including assisting in postgraduate supervision, initiating multidisciplinary research collaborations, and overseeing and reporting project progress

**Qualifications**
Required Degree(s) in:
• Computer Engineering
• Computer Science
• Electronics Engineering

**Experience**
Other:
• PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent

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