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.