Research Fellow (Material Science and Engineering)

Posted:
11/5/2024, 4:00:00 PM

Location(s):
Singapore, Singapore

Experience Level(s):
Senior

Field(s):
Mechanical Engineering

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

 

For more details, please view https://www.ntu.edu.sg/mse/research.

 

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

 

Key Responsibilities:

  • Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces

  • Develop and implement robotic control systems

  • Optimization of formulation for UV 3D printing / direct ink writing 3D printing

  • Contribute to ongoing soft robotics research

  • Design and prototype using CAD software and 3D printing technologies

  • Collaborate with faculty and other researchers on interdisciplinary projects

  • Publish research findings in peer-reviewed journals and present at conferences

  • Assist in mentoring students

 

Job Requirements:

  • Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field

  • Strong background in formulations for 3D printing

  • Experience in soft robotics applications

  • Proficiency in CAD software and 3D printing technologies

  • Strong programming skills (e.g., Python, C++, MATLAB)

  • Excellent written and verbal communication skills

  • Ability to work independently and as part of a team

  • Experience with machine learning and AI applications in engineering is advantageous

 

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU