The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.
The key roles & responsibilities include, but are not limited to the following:
- Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
- Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
- Formulate scientific research directions and innovative proposals to secure competitive funding
- Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
- Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed
Job Requirement:
- PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
- Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
- Good track record of scientific publications in top journals or conferences
- Excellent technical presentation and writing skills
- Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
- Can-do attitude and able to work with different needs of various stakeholders
- Proactive team player and technically motivated to solve problems innovatively
