1. Robotics. 2. Control Engineering. 3. Machine Learning. 4. Operations Research and Optimization Methods. 5. CAD (Computer-Aided Design). Develop course materials and curricula aligned with international standards and industry intelligent systems practices Supervise student projects and internships in optimization, machine learning applications, robotics, and intelligent system design. Engage in applied research and publish in peer-reviewed journals Collaborate with industry partners for consulting projects and practical student training in real-world intelligent engineering environments.

1.Master’s degree or above in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or closely related field. 2.Strong expertise in operations research and intelligent systems. 3.Experience with specialized software and tools (Python, ROS, CAD software) preferred Industry experience preferred. 4.Ability to work effectively in an international and multicultural environment. 5.English is required (B2 or above); German is desirable.