The School of Computer Science and Engineering (SCSE) is seeking a 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 conduct research and develop advanced deep learning algorithms for 3D vision. Candidates are expected to have a strong background in relevant areas.
Key Responsibilities:
To independently undertake research in computer vision 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 or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable.
Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR.
Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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