Senior Assistant Director, Advanced Manufacturing

4 days ago

Queenstown, Singapore Agency for Science, Technology and Research Full time $90,000 - $120,000 per year

SERC AM cluster is looking for a passionate individual to join us in building Singapore's R&D capabilities in:

- Applied AI for Robotics (Embodied AI)

- Applied AI for Manufacturing

The candidate should have a strong drive and impact-oriented mindset to ensure investments in R&D activities deliver good economic and societal outcomes for Singapore. Roles include but are not limited to the following:

  • Develop and implement strategies that advance the adoption of Applied AI technologies in key industrial domains. Support the Deputy Directors in the planning and execution of R&D programmes to ensure alignment with national priorities.

  • Oversee Applied AI research initiatives across A*STAR, ensuring coherence, technical relevance, and translation potential across Manufacturing, Trade and Connectivity (MTC) domains.

  • Drive multi-stakeholder collaboration by engaging with public agencies, research partners, and industry players to identify needs, co-develop technologies, and accelerate the deployment of Applied AI and/or Robotics solutions in the manufacturing sector.

  • Support the development of technical competencies and institutional capabilities through knowledge-sharing, pilot projects, and ecosystem partnerships to build a sustainable Applied AI innovation pipeline.

  • Ensure that initiatives are aligned to national R&D and economic strategies and contributing to sectoral transformation and industrial competitiveness.

Qualifications:

  • A Bachelor's or Master's degree in a relevant field such as Engineering, Computer Science, Artificial Intelligence, Robotics, Data Science, or related disciplines. A PhD or equivalent research experience is an advantage.

  • At least 6 years of professional experience in applied R&D, technology programme management, or strategic planning in Applied AI, robotics, or manufacturing-related domains.

  • Experience in working with a broad range of stakeholders—including government agencies, research institutes, and industry partners—on collaborative R&D or innovation initiatives.

  • Good understanding of AI methodologies and tools (e.g., machine learning, computer vision, sensor fusion) and their applications in robotics, autonomous systems, industrial automation, or smart manufacturing.

  • Strong written and verbal communication skills, with the ability to translate technical content into strategic insights and engage senior leadership and external partners effectively.

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