1. Master or PhD students in Computer Science, Mathematics or Statistics.
2. Familiar with Computer Vision applications on image and video with deep learning, having interests in challenges from real-world applications, e.g. robustness and transferability. Being the first author on papers in top conferences and journals is preferred.
3. Have experience in object detection or segmentation is preferred. Interested in contributing to open source projects is preferred.
4. Have experience in GNN research, and using DGL or other graph deep learning frameworks.
5. Can guarantee at least 4 months internship and 4 days a week.
   

1. Master or PhD students in Computer Science, Mathematics or Statistics.
2. Excellent algorithms and programming skills, proficient in Python or C++, familiar with at least one deep learning tool (PyTorch, TensorFlow, JAX).
3. Familiar with Deep Learning and Natural Language Processing, familiar with Pre-trained Language Models and Deep Reinforcement Learning area, or candidates who are first author with papers published in top conferences or journals are preferred.
4. Candidates who have research on GNN or use DGL or other graph deep learning frameworks are preferred.
5. Can guarantee at least 4 months internship and 4 days a week.
   

1. Master or PhD students in Computer Science
2. Excellent algorithms and programming skills, proficient in Python or C++, familiar with at least one deep learning tool.
3. Have experience in large-scale machine learning training, inference or machine learning compiler.
4. Candidates who have rich experience in related areas but not so much on Graph Neural Networks itself is also welcome.
5. Can guarantee at least 4 months internship and 4 days a week.
   

Develop and support the state-of-the-art open source platform Deep Graph Library (DGL)

1. Bachelor or Master degree in Computer Science or related majors .
2. Solid understanding of CS fundamentals(Data Structures, Algorithm), familiar with Python or C++.
3. Candidates who have past open-source community experience are preferred.
4. Candidates who are familiar with at least one deep learning framework (MXNet, Pytorch, Tensorflow) are preferred.
5. Good verbal and written communication skill.
6. At least 4 months internship and 4 days a week.