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Open nowPosted 44 days ago

科学智能体科研实习生（能源方向）

sii-czxy/campus170 open roles

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Your applicationOpen now科学智能体科研实习生（能源方向）sii-czxy/campus

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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 44 days ago

The posting

1. 阅读并整理科学智能体、大语言模型推理、工具调用、自动化科研等方向的前沿论文和开源项目，跟踪相关研究进展。 2. 复现并测试代表性智能体框架，参与科研智能体系统搭建，开发文献检索、代码生成、模型调用、实验执行和结果分析等基础能力模块。 3. 面向新能源、托卡马克、芯片设计、机器人等科学与工程任务，参与构建智能体工作流，使智能体能够自主拆解问题、生成候选方案，并调用专业模型完成验证与优化。 4. 设计科学智能体评测任务与指标体系，分析智能体在长程规划、工具使用、错误修正、知识调用和科研方案生成等方面的能力表现。 5. 整理实验结果并参加课题组讨论和阶段性汇报，根据项目进展参与智能体系统开发、数据集构建、评测基准建设和论文撰写。

1. 招募对象：本科生、硕士研究生。 2. 计算机、人工智能、软件工程、自动化、数学、物理等相关专业背景优先。 3. 具备 Python 编程基础，了解机器学习、深度学习和大语言模型基本原理，能够使用 Git 及常用开发工具完成实验开发。 4. 对以下方向具有研究兴趣：科学智能体（Scientific Agent）；大模型推理与工具调用；自动化科研（AI Scientist）；智能体工作流与任务规划。 5. 能够阅读英文论文与技术文档，具备环境配置、开源项目复现、模型 API 调用和实验结果分析能力。 6. 具备使用 ChatGPT、Claude 等主流大模型产品，以及 Claude Code、Codex 等 AI 编程或智能体工具的经验，能够7. 7. 将其用于资料调研、代码开发、问题排查和实验分析者优先。 8. 有以下经历者优先：智能体开发；算法竞赛；科研项目；开源贡献；自动化工作流搭建；大模型应用开发等相关经历。 9. 具备良好的工程实践能力和问题分析能力，能够参与智能体系统开发、实验设计和性能评估。 10. 对“如何利用大模型智能体实现自动化科研，提升复杂科学问题求解能力”这一方向具有持续兴趣，能够主动学习并推进研究任务。 11. 实习安排：线上线下结合；周期3–6个月；每周投入10小时以内。

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