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Open nowPosted 6 days ago

【实习】电网优化决策与自进化智能体实习生

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【实习】电网优化决策与自进化智能体实习生aicarrier/522799 · 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. 57.8%60 days
This job: posted 6 days ago

The posting

面向机组组合、经济调度、最优潮流等能源优化决策问题，研究从业务描述、运行数据与调度规则中自主识别决策变量、目标函数及约束条件的方法，实现优化问题的自主建模； 研究大模型与专业优化求解器协同的智能体方法，实现任务分解、建模代码生成、求解工具调用与求解策略优化，提升复杂电网优化问题的自主求解能力； 研究验证驱动的自进化机制，结合模型校验、不可行性诊断、约束检验与解的质量评估，开展错误归因、模型修正与策略改进，构建“自主建模—优化求解—验证反馈—迭代改进”的智能体闭环； 构建能源优化决策任务数据集与评测体系，探索经验记忆、成功轨迹学习与强化学习等方法，推动智能体持续积累建模与求解经验，提升跨任务泛化能力。

熟悉大语言模型、智能体、工具调用、代码生成、强化学习或数学优化等方向中的一种或多种技术； 熟练使用 Python，具备良好的编程与实验能力；有 Pyomo、CVXPY 等建模工具，或 Gurobi、CPLEX、SCIP 等优化求解器使用经验者优先； 对 Self-improving Agents / AI for Optimization / AI for Power Systems 有较强研究兴趣，具备独立阅读论文、复现实验和开展科研工作的能力； 有智能体自进化、验证器设计、经验学习、大模型后训练或自动优化建模等相关研究经历者优先。

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