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Information & Communication Technology 🏢 Full Time ⭐️ Verified

Lead Research Engineer, SVS/DMD, ARTC

Agency for Science, Technology and Research
Singapore
Estimated Salary
SGD 120.000 – SGD 180.000
Posted Date
8 Mei 2026
Application Deadline
8 Mei 2027

Job Description

Join A*STAR's Advanced Robotics and Technology Centre (ARTC) as a Lead Research Engineer to pioneer the next generation of AI-driven manufacturing solutions. This pivotal role offers the opportunity to transform production planning through cutting-edge research and innovation. You will lead multidisciplinary teams in developing intelligent systems that optimize manufacturing processes, enhance productivity, and drive sustainable industrial transformation. Collaborate with industry partners to translate theoretical concepts into scalable real-world applications while mentoring junior researchers. Position yourself at the forefront of Singapore's technological advancement by solving complex challenges in smart manufacturing and digitalization.

Responsibilities

  • Lead AI-driven manufacturing solution development and implementation
  • Transform production planning through advanced algorithms and digital twins
  • Manage cross-functional research teams and project lifecycles
  • Develop prototypes for smart factory automation systems
  • Collaborate with industry partners to pilot innovative technologies
  • Drive research publications and intellectual property creation
  • Secure and manage research funding from government and industry sources

Qualifications

  • PhD or Master's in Robotics, AI, Computer Science, or related field
  • 8+ years in R&D with 3+ years in leadership roles
  • Expertise in machine learning, computer vision, or industrial automation
  • Proven track record in manufacturing digitalization projects
  • Strong publication record in peer-reviewed journals/conferences
  • Experience with agile development and prototyping methodologies
  • Demonstrated ability to secure research grants and funding

Required Skills

AI Machine Learning Robotics Computer Vision Manufacturing Automation Production Planning Digital Twins R&D Management Prototyping Agile Development

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