Research Assistant: Object Detection & Few-Shot ML

Nanyang Technological University; Singapore; On-site; SGD 33,000 - 61,000; Full time

Job summary

Nanyang Technological University (NTU Singapore) invites applications for a Research Assistant to join its university-level research centre collaborating with industry on object detection.

Successful candidates will support data-efficient object detection research, contribute to documentation and potential publications, and perform related duties as required by the project funding body.

Qualifications

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field (or near completion).
• 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.

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.

Skills

Python

Machine learning

Deep learning

Team collaboration

Communication

Education

Bachelor's degree in CS/EE

Tools

PyTorch

TensorFlow

Keras

Job description

Nanyang Technological University (NTU Singapore) invites applications for a Research Assistant to join its university-level research centre collaborating with industry on object detection.

Successful candidates will support data-efficient object detection research, contribute to documentation and potential publications, and perform related duties as required by the project funding body.