Research Fellow

**Job Description**
The Research Fellow will join a university-level research centre collaborating with industry, specifically involved in a project related to object detection.

**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 like PyTorch, TensorFlow, Keras, etc.
• 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, with a 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

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