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Research Fellow

1 week ago

Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The School of Mechanical & Aerospace Engineering at Nanyang Technological University (NTU) is a vibrant and dynamic international research community comprising world-class scientists and bright students.

With its strong research focus in areas such as advanced manufacturing, aerospace, biomedical engineering, energy, industrial engineering, maritime engineering, robotics, and more, the school prides itself on its cutting-edge capabilities and comprehensive facilities.

Our researchers are dedicated to addressing the pressing needs of industries and supporting the nation's long-term development strategies, particularly in the context of industrial 4.0 and sustainable living.

In this era of rapid technological advancements, we strive to develop new competencies that support the growth and competitiveness of our engineering sector globally.

We have established ourselves as a leader in engineering research, ranking amongst the top engineering schools worldwide.

Research Fellow Position

The School of Mechanical and Aerospace Engineering at NTU invites applications for a Research Fellow position in Applied Machine Learning for Engineering Design.

This role will involve conducting high-impact research on data-driven design automation and generative modeling for AI-based engineering design and design for additive manufacturing, under the supervision of Assistant Professor Song Binyang.

The key responsibilities include:

  • Conducting innovative research on data-driven design, generative modeling, and design for additive manufacturing
  • Supporting research grant applications
  • Mentoring students
  • Guiding research projects within the research group
Job Requirements

To be successful in this role, you will need:

  • A PhD degree in Mechanical Engineering, Industrial Engineering, Electrical Engineering, Computer Science, or a related field from a reputable university;
  • Strong expertise in areas such as Engineering Design (e.g., Data-Driven Design, Generative Design, Design Theory and Methods), Human-AI Collaboration, and Additive Manufacturing;
  • Proficiency in Applied ML / AI;
  • A strong publication record in top-tier engineering design, human-AI interaction, AL / AI conferences / journals;
  • Excellent communication skills, both spoken and written.