We are seeking Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to deep learning algorithms for 3D vision.

Key Responsibilities:

• To independently undertake research in computer vision, computer graphics, and machine learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
• To provide guidance and support to any students associated with the project
• To attend, contribute, and where necessary lead relevant meetings
• To undertake any other duties relevant to the programme of research

Job Requirements:

• PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
• Candidates with a Master's Degree in Computer Engineering, Computer Science, Electronics Engineering with relevant years of working experience may also apply
• Strong background in machine learning and computer vision. Prior experience in multi-modality learning, 3D vision, and point cloud processing is preferable
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TOG, TVCG, TPAMI, IJCV, SIGGRAPH, Eurographics, CVPR, ICCV, ECCV, NeurIPS, ICML and AAAI
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU