Research Fellow (Computer Vision)
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.
Key Responsibilities:
Development of machine reasoning methods.
Development of vision-language methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning.
Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery.
Development of deep learning methods and theory.
Development of computer vision methods.
Development of natural language processing methods.
Development of causal inference theory.
Job Requirements:
PhD. in Computer Science, Electrical Engineering or related disciplines.
Minimum 3 years of related work experience.
At least 3 topic-related publications in top-tier journals and conferences, including CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV, TIP, TMM.
Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision and Causal Inference.
Experience in at least one Deep Learning framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++.
Demonstrated project experience related to causal inference will be an advantage.
Good written and oral communication skills.
We regret that only shortlisted candidates will be notified.
