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Open nowPosted 43 days ago

AI基础智能科研实习生

sii-czxy/campus170 open roles

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  4. 19.3%14 days
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  6. 57.8%60 days
This job: posted 43 days ago

The posting

1. 阅读并整理数学智能体（Math Agent）、大模型推理、AI for Science 等相关方向的前沿论文和开源项目，跟踪领域最新研究进展。 2. 复现相关开源模型和算法方法，完成实验环境搭建、模型运行、性能评测及基础实验分析。 3. 参与数学智能体系统的研发，包括问题理解、数学推理、搜索规划、工具调用、验证反馈等模块的设计与优化。 4. 协助构建数学问题数据集和评测体系，参与数据清洗、任务设计、实验方案制定以及模型效果分析。 5. 面向信息论、组合数学、平面几何等数学领域开放问题，参与探索基于大模型与专用模型结合的智能求解方法，并整理阶段性实验结果。 6. 参加课题组组会并进行阶段性研究汇报，根据项目进展参与技术文档、研究报告和论文相关工作。

1. 招募对象：本科生、硕士研究生。 2. 计算机、人工智能、数学、统计、计算数学等相关专业背景优先。 3. 具备 Python 编程基础，了解机器学习、深度学习或大语言模型基本方法，能够完成基础实验开发与数据处理。 4. 对以下方向具有研究兴趣：数学智能体（Math Agent）；大模型推理；AI for Science；自动化数学发现；智能搜索与推理系统。 5. 能够阅读英文技术论文和相关资料，具备开源项目复现、实验设计和结果分析能力。 6. 有以下经历者优先：大模型应用开发；数学推理任务研究；算法竞赛；科研项目；论文复现；开源项目贡献等。 7. 具备较强的问题分析能力和自主学习能力，能够围绕开放性问题开展探索，并持续优化实验方案。 8. 对“如何利用人工智能突破数学开放问题，探索新的数学发现范式”这一方向具有持续兴趣，能够稳定投入科研时间。 9. 实习安排：线上线下结合；周期6个月以上；每周投入20–30小时。

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