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A*STAR in Singapore seeks a Scientist to develop and translate advanced manufacturing technologies into industry-ready solutions. You will explore additive, hybrid and other production approaches, develop analytical and simulation methods, and generate evidence to guide engineering and manufacturing decisions.
The role suits recent PhD graduates and early-career researchers aiming to blend technical depth with systems-level manufacturing insight, with opportunities to grow into leadership within
We are seeking a Scientist to help develop and translate advanced manufacturing technologies into solutions that create real industrial value.
This role focuses on understanding how products and components can be manufactured more effectively using additive manufacturing, hybrid manufacturing and other advanced production technologies. You will evaluate manufacturing concepts, develop analytical and simulation methodologies, and generate the evidence needed to support engineering and manufacturing decisions.
Working alongside experts in additive manufacturing, process development, digital manufacturing, automation, materials and engineering design, you will contribute to multidisciplinary projects spanning technology development, manufacturing assessment and industrial implementation.
The role is suitable for recent PhD graduates and early-career researchers who are interested in combining technical depth with a systems-level understanding of manufacturing.
Over time, successful candidates will have opportunities to develop technical leadership capabilities and contribute to larger industry-facing programmes.
Experience in one or more of the following areas will be advantageous:
Direct experience in additive manufacturing is beneficial but not essential for candidates with strong and transferable expertise in related disciplines.
We are looking for someone who:
Many manufacturing research roles focus on a single technology, process or simulation domain.
This role focuses on understanding the bigger picture: how different technologies can be combined into practical manufacturing solutions, what evidence is required to justify their adoption, and how engineering decisions influence technical performance, manufacturability, cost, lead time and implementation success.
If you are excited by applying engineering analysis and scientific thinking to solve real manufacturing challenges, we would like to hear from you.