Scientist/senior scientist
4 days ago
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.
Key Roles & Responsibilities:
Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems.
Work 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 Requirements:
Ph D degree in Computer Science / Engineering, Electrical Engineering, or Mechanical Engineering, with an emphasis on controls and/or automation.
Entry-level candidates 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 Twin CAT, Eco Struxure, 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.
Note:The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.#J-18808-Ljbffr
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