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Open nowPosted 44 days ago

化学智能科研实习生

sii-czxy/campus170 open roles

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Your applicationOpen now化学智能科研实习生sii-czxy/campus

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The clock on this job

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. 阅读并整理化学智能、谱学模型、多模态大模型及智能体相关方向的前沿论文和技术资料，了解人工智能在化学研究中的最新进展。 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、基础测试及结果分析。 3. 参与化学谱学数据处理工作，包括从公开文献、补充信息、谱学图表和分子结构文本中提取实验数据，开展数据清洗、整理和结构化处理。 4. 协助构建可训练、可验证、可追溯的谱学数据集，参与数据质量检查、实验条件整理和模型评测任务设计。 5. 参与基于实验谱学数据的多模态化学大模型研发，协助开展模型训练、效果评估和实验结果分析。 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和研究报告整理。

1. 招募对象：高中生、本科生。 2. 化学、计算机、人工智能、数据科学等相关背景优先。 3. 具备一定 Python 编程基础，能够完成基础数据处理、实验运行和简单代码调试。 4. 对以下方向具有研究兴趣：AI for Chemistry；化学智能体；谱学大模型；多模态人工智能；科学数据挖掘。 5. 能够阅读英文技术资料或科研论文，具备基本的信息检索、实验分析和问题解决能力。 6. 具备以下经历者优先：高中化学、信息学等学科竞赛并取得优异成绩；人工智能相关课程项目；数据分析项目；模型复现或开源项目经历。 7. 不要求已有正式科研经历，更关注学习能力、探索兴趣和实践能力，能够主动学习并完成实验任务。 8. 对“如何利用人工智能理解化学实验数据，推动自动化谱学分析与化学发现”这一方向具有持续兴趣，能够稳定投入科研时间。 实习安排：线上线下结合；周期3–6个月；每周投入20–30小时。

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