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Open nowPosted 5 days ago

【2027届校招】运筹优化算法实习生（电力调度与交易方向）

everrising/graduate45 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【2027届校招】运筹优化算法实习生（电力调度与交易方向）everrising/graduate · 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. everrising/graduate 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 5 days ago

everrising/graduate median: 1 days open

The posting

1. 参与储能充放电、能源调度及电力市场报量报价模型的开发、验证与改进。 2. 完成数据清洗、实验分析、策略回测及结果可视化，协助评估不同策略的收益和约束满足情况。 3. 阅读并理解现有 Julia / JuMP 优化代码，参与模型参数调整、约束修改和问题排查。 4. 整理实验过程与结论，形成可复现的代码和技术文档。

1. 数学、运筹学、工业工程、自动化、电气工程、计算机等相关专业在校生，具备良好的数学基础。 2. 修读过运筹学、最优化方法或数学规划相关课程，理解线性规划、整数规划的基本原理，能够将实际问题转化为决策变量、目标函数和约束条件。 3. 具有至少一项亲自参与的校内课程设计、科研训练或竞赛项目经历，涉及优化建模或调度决策；能够清楚说明问题背景、模型设计、个人贡献及实验结果。 4. 熟悉 Python，能够独立完成数据处理、程序调试和实验分析，熟练使用 NumPy、pandas 等常用工具。 5. 具备较强的代码阅读、自主学习和问题定位能力。 6. 工作认真，能够及时沟通问题，注重实验结果的准确性与可复现性。

【加分项】 - 了解或使用过 Julia，熟悉 JuMP 建模框架尤佳。 - 使用过 Gurobi、HiGHS、CPLEX 等优化求解器，或具有 Pyomo、PuLP 等建模工具使用经验。 - 有强化学习项目经历，能够说明状态、动作、奖励设计，以及训练方法和策略评估结果；有连续控制、调度或能源管理相关经验尤佳。 - 了解储能、电力市场、微电网、滚动优化、随机优化或风险约束等相关知识。 - 熟悉 SQL、Git，具有处理实际时序数据的经验。 - 对电力市场有浓厚兴趣

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