Translation ofertas em Singapura

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:

1. 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.
2. Oversee Applied AI research initiatives across A*STAR, ensuring coherence, technical relevance, and translation potential across Manufacturing, Trade and Connectivity (MTC) domains.
3. 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.
4. 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.
5. Ensure that initiatives are aligned with national R&D and economic strategies and contribute to sectoral transformation and industrial competitiveness.

• 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.