岗位职责：

1.电气控制系统设计与开发

•负责自动化设备电气控制系统的方案设计、原理图绘制及PLC程序开发，结合现代控制理论（如PID、状态空间控制等）优化系统性能

•基于Matlab/Simulink完成控制算法建模与仿真，验证算法有效性并优化参数

•参与设备调试与故障诊断，解决现场电气控制问题，编写技术文档及操作手册

2.智能算法与软件开发

•应用深度学习、机器学习技术（如CNN、RNN、强化学习）解决电气系统中的预测、分类或优化问题，例如设备故障预测、能耗优化等

•使用C/C++实现算法底层逻辑，优化代码执行效率，并与PLC或嵌入式系统对接

3.硬件与嵌入式开发

•掌握PLC编程（如西门子、三菱系列），开发人机界面（HMI）及通信协议（Modbus、Profinet等）

4.跨领域协作与创新

•与机械、软件团队协作，推动电气系统与智能制造

•探索新技术（如边缘计算、数字孪生）在电气控制中的应用，提升系统智能化水平

1.Electrical Control System Design & Development

• Designed and developed electrical control systems for automated equipment, including schematic drafting and PLC programming, while optimizing system performance with modern control theories (e.g., PID, state-space control).

• Conducted control algorithm modeling and simulation using MATLAB/Simulink, validating effectiveness and fine-tuning parameters.

• Participated in equipment debugging and fault diagnosis, resolved on-site electrical control issues, and prepared technical documentation and operation manuals.

2.Intelligent Algorithms & Software Development

• Applied deep learning and machine learning (e.g., CNN, RNN, reinforcement learning) to solve prediction, classification, and optimization challenges in electrical systems (e.g., equipment failure forecasting, energy consumption optimization).

• Implemented algorithm core logic in C/C++, optimized code efficiency, and integrated with PLC/embedded systems.

3.Hardware & Embedded Development

• Proficient in PLC programming (Siemens, Mitsubishi series), developed HMI (Human-Machine Interfaces), and implemented communication protocols (Modbus, Profinet, etc.).

4.Cross-Disciplinary Collaboration & Innovation

• Collaborated with mechanical and software teams to advance electrical systems in smart manufacturing.

• Explored emerging technologies (e.g., edge computing, digital twins) to enhance system intelligence in electrical control applications.

岗位要求：

1.电气工程、自动化、控制科学与工程、计算机等相关专业硕士及以上学历;

2.熟悉模电/数电基础，掌握电路分析、电机学、自动控制原理等核心课程;

3.能够使用Matlab/Simulink进行算法仿真；掌握C/C++语言，具备嵌入式开发经验者优先；

4.了解深度学习框架（TensorFlow/PyTorch），熟悉神经网络设计与训练，有研究或实习项目经验者优先；

5.了解PLC编程（如西门子S7系列）、SCADA组态软件，了解工业通信协议；

6.良好的学习能力，具备较强的逻辑分析能力和问题解决能力；

7.工作积极负责，主观能动性强，能够承受一定的工作压力，并且拥有良好沟通和协作能力。

1.Master’s degree or higher in Electrical Engineering, Automation, Control Science & Engineering, Computer Science, or related fields.

2.Solid foundation in analog/digital electronics, with expertise in core subjects such as circuit analysis, motor theory, and automatic control principles.

3.Proficient in algorithm simulation using MATLAB/Simulink; skilled in C/C++ programming (experience in embedded development preferred).

4.Familiarity with deep learning frameworks (TensorFlow/PyTorch) and neural network design/training (research or internship experience is a plus).

5.Basic knowledge of PLC programming (e.g., Siemens S7 series), SCADA configuration software, and industrial communication protocols.

6.Strong learning agility, logical analysis, and problem-solving skills.

7.Proactive, responsible, and able to work under pressure; excellent communication and team collaboration abilities.

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