Research Assistant (Object Detection)

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:

• Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.
• 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.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.
• Basic understanding of machine learning and computer vision principles.
• Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).
• Interest in research and willingness to learn and explore new concepts.
• Good communication skills and ability to work both independently and as part of a team.
• Strong motivation, initiative, and a passion for solving technical challenges.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU