Research Engineer (Digital Manufacturing Division (DMD)/Cyber-Physical Production System (CPPS)), SIMTech
Salary undisclosed
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The CPPS group is seeking a highly motivated Research Engineer to drive research in Industry 5.0 smart manufacturing solutions by integrating digital technologies with AI-enabled physical production systems. The ideal candidate should have a strong background in Industrial IoT (IIoT) with hands-on experience in sensorization, connectivity, and solution design.
Key Responsibilities
Key Responsibilities
- Conduct research on adaptive and autonomous control algorithms for self-learning, self-optimizing, and self-recovering production systems.
- Collaborate with scientists and engineers to design and implement integrated IIoT and AI-enabled production systems for smart manufacturing.
- Analyze autonomous manufacturing challenges and develop innovative solutions for industry applications.
- Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is a plus
- Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
- Proficiency in languages and middleware such as ROS, C++, and Python.
- Hands-on experience in web application development, sensorization, and microcontroller firmware development.
- Comfortable working in Windows/Linux environments, using version control tools like Git, and handling data pipelines for ML models.
- Strong technical presentation and writing skills.
- A proactive, problem-solving mindset, with the ability to collaborate with diverse stakeholders.
- A team player who is technically driven and motivated to develop innovative solutions.
The CPPS group is seeking a highly motivated Research Engineer to drive research in Industry 5.0 smart manufacturing solutions by integrating digital technologies with AI-enabled physical production systems. The ideal candidate should have a strong background in Industrial IoT (IIoT) with hands-on experience in sensorization, connectivity, and solution design.
Key Responsibilities
Key Responsibilities
- Conduct research on adaptive and autonomous control algorithms for self-learning, self-optimizing, and self-recovering production systems.
- Collaborate with scientists and engineers to design and implement integrated IIoT and AI-enabled production systems for smart manufacturing.
- Analyze autonomous manufacturing challenges and develop innovative solutions for industry applications.
- Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is a plus
- Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
- Proficiency in languages and middleware such as ROS, C++, and Python.
- Hands-on experience in web application development, sensorization, and microcontroller firmware development.
- Comfortable working in Windows/Linux environments, using version control tools like Git, and handling data pipelines for ML models.
- Strong technical presentation and writing skills.
- A proactive, problem-solving mindset, with the ability to collaborate with diverse stakeholders.
- A team player who is technically driven and motivated to develop innovative solutions.