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Open nowPosted 13 days ago

领域科学家-地质学方向

c0fu1j3a9m0/referral33 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now领域科学家-地质学方向c0fu1j3a9m0/referral · Shanghai, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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. c0fu1j3a9m0/referral postings stay open a median of 1 days.

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. 57.8%60 days
This job: posted 13 days ago

c0fu1j3a9m0/referral median: 1 days open

The posting

1. 科学机理研究： 围绕天然氢生成机制，研究水–岩反应过程，以及温度、压力、矿物组成、流体条件等因素对产氢过程的影响。 2. 产氢过程建模： 结合矿物学、地球化学、热力学与反应动力学，建立岩石–流体反应及氢气生成过程的定量分析模型，研究刺激条件对产氢效率的影响。 3. AI 模型与科学计算： 与 AI 算法团队合作，将实验数据融入模型，开展产氢潜力预测、关键影响因素识别、反应条件优化及候选区域筛选。 4. 实验与数据分析： 整理和分析岩石矿物组成、地球化学、流体性质及产氢实验数据，参与实验方案设计、结果分析与模型验证，形成可持续迭代的科研数据体系。 5. 科研成果产出： 围绕天然氢生成机理、智能预测方法及刺激产氢技术，推动高水平论文、专利、科研项目及技术方案产出。

1. 地球化学、地质学、岩石学、矿物学、地球物理、地球系统科学或相关专业博士学历。 2. 具备扎实的地球化学或岩石–流体相互作用研究基础。 3. 熟悉热力学、反应动力学、矿物演化或流体–岩石反应等相关理论，能够从科学机理出发提出可验证的研究假设。 4. 具备科研数据处理、定量建模及科学计算能力，能够使用 Python 等工具开展数据分析；有地球化学模拟、反应运移模拟或机器学习应用经验者优先。 5. 具备较强的独立科研能力、文献调研能力和跨学科协作能力，能够与地学专家、实验人员及 AI 算法工程师共同推进项目。 6. 具有良好的科研成果积累，在相关领域发表过高水平论文或参与过重要科研项目。

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