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Open nowPosted 49 days ago

计算科学实习生（27-28应届）

icnl2wnnd6kf/kairosmaterials4 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now计算科学实习生（27-28应届）icnl2wnnd6kf/kairosmaterials · Shanghai, Chinese Mainland

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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 49 days ago

The posting

  • 参与大规模无机材料数据体系的设计与建设；
  • 开展高通量第一性原理计算与自动化数据生成；
  • 探索材料化学空间与构型空间的高效采样方法；
  • 建立材料数据的质量控制、筛选与评估方法；
  • 结合材料基础模型，研究模型驱动的数据发现与迭代策略；
  • 探索磁性、缺陷、非平衡构型等更丰富材料状态的数据表示与构建。
  • 材料、物理、化学等相关专业硕士及以上学历，博士优先；
  • 熟悉 DFT 及主流第一性原理计算软件；
  • 熟悉 Python，以及 ASE、pymatgen 等材料计算工具；
  • 对晶体结构、材料计算和材料数据库有较好的理解；
  • 对 AI for Materials、MLFF 或材料基础模型具有兴趣。

加分项

  • 有高通量 DFT 或大规模材料数据经验；
  • 有 MLFF、材料生成模型或主动学习相关经验；
  • 有磁性、缺陷、表界面、无序材料等计算经验；
  • 对“如何构建下一代材料数据”有自己的思考。

我们希望一起探索

不仅是获得更多材料数据，而是研究：

什么样的数据能够推动下一代材料基础模型？

从材料空间探索、第一性原理计算，到数据与模型协同，让材料数据库从静态的数据集合走向可持续演化的科学基础设施。

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