Research Fellow (Material Science and Engineering)
NTU Main Campus, Singapore
Nanyang Technological University
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CAD Engineering Machine Learning Matlab Python Research Robotics
Perks/benefits: Conferences
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