**Job Description**
The Research Fellow will contribute to a Vision-Language project, focusing on visual reasoning, vision and language, and causal reasoning. The role involves developing methods for various applications within these domains, including visual question answering, causal inference tools, and deep learning techniques for computer vision.
**Skills & Abilities**
• 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, or MXNet.
• Experience in Programming Languages such as Python, Matlab, R, and/or C/C++.
• Demonstrated project experience related to causal inference (advantage).
• Good written and oral communication skills.
**Qualifications**
Required Degree(s) in:
• Computer Engineering
• Computer Science
• Electronics Engineering
**Experience**
Experience Required:
• 3 years (related work experience)
Other:
• At least 3 topic-related publications in top-tier journals and conferences (including CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV, TIP, TMM).
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