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Open nowPosted 32 days ago

【校招】能源多模态大模型与决策智能体算法工程师/青年研究员-天文与地球科学组

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】能源多模态大模型与决策智能体算法工程师/青年研究员-天文与地球科学组aicarrier/522799 · Shanghai, Chinese Mainland

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 32 days ago

The posting

面向新型电力系统，研究多模态大模型与自进化决策智能体。通过统一理解电网拓扑、时序、数值、公式、文本与图像等信息，支撑新能源预测、电网暂稳态计算与感知、运行风险推理；进一步利用大模型开展优化问题自主建模，通过智能体协同求解与仿真验证，实现调度运行方案的持续优化，构建“预测—感知—推理—决策—验证”的自进化闭环。 1.研究电网多模态信息的统一表征与融合方法，开展领域大模型训练，提升模型对电网结构、运行状态与物理机理的理解和推理能力； 2.研究大模型驱动的自主优化建模，将业务需求、运行规则与物理约束转化为决策变量、目标函数、约束条件及可执行模型； 3.研发优化决策智能体，协同调用专业求解器与电力仿真工具，实现求解策略选择、参数调整、不可行性诊断与方案迭代优化； 4.研究反馈驱动的自进化机制，结合仿真结果、专家反馈与历史经验，持续提升模型与智能体的预测、推理和决策能力。

1.硕士及以上学历，计算机、人工智能、电气工程、自动化、运筹优化、应用数学等相关专业；自主建模与优化决策方向优先考虑博士； 2.在多模态学习、大模型、智能体、强化学习、数学优化或电力系统分析等至少一个方向具有研究积累，有志于开展 AI 与能源电力交叉研究； 3.具有多模态大模型训练、时序与拓扑联合建模、物理约束学习经验者优先； 4.具有大模型自动建模、智能体工具调用、自进化优化，或电力系统仿真与调度优化经验者优先。

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