Research Intern - AI4Science (Beijing)
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What we offer:
• Access to high-performance GPU clusters
• Opportunities to collaborate with leading experts in AI and science
• Engagement in international research collaborations
We welcome creative, curious, and bold minds to join our team and help shape the future of scientific discovery through AI.
Basic Qualifications
• Currently pursuing a PhD in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Demonstrated experience in frontier research with publications at top-tier conferences in areas such as machine learning, AI for Science, foundation models, reinforcement learning, optimization, or statistics.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and programming languages including Python, C, or C++.
• Strong engineering and software development skills, with experience in deep learning pipelines, GPU clusters, and distributed training of large-scale models.
Preferred Qualifications
• First-author publications in top-tier peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI).
• Familiarity with large language model post-training techniques such as instruction tuning and reinforcement learning.
• Experience with physics simulation tools (e.g., COMSOL, ANSYS, or similar) is a plus.
