Research Assistant – Simulation & BioMEMS

About the role

We are seeking a highly motivated Research Assistant to join our advanced sensors research team at NTU MAE. The role supports multidisciplinary research in biomechanics, robotics, and advanced materials, focusing on simulation and BioMEMS development.

Key responsibilities

• Conduct comprehensive literature reviews on injury biomechanics, physiological effects, and computational modelling.
• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.
• Design and execute experimental studies with instrumented human manikins and other platforms to evaluate biomechanical responses and validate simulations.
• Assist in the design, fabrication, and characterisation of tissue simulants and non‑Newtonian materials, including 3D printing processes.
• Develop and optimise experimental setups, testing protocols and data acquisition systems for biomechanics and robotics research.
• Analyse experimental and simulation data, prepare technical reports and document research findings.
• Support integration of advanced materials and sensing technologies into robotics and interdisciplinary projects.
• Coordinate with faculty, researchers, students and external partners to achieve project milestones.

Required profile

• Bachelor degree in Mechanical Engineering, Mechatronics, Robotics or a related discipline.
• Knowledge of multi‑physics modelling for non‑Newtonian materials.
• Experience with 3D printing technologies, sensors, system integration, experimental testing or measurement systems is advantageous.
• Familiarity with signal processing, control systems and programming tools such as Python, MATLAB, C++ or LabVIEW is preferred.
• Strong analytical, problem‑solving, communication and project coordination skills.
• Ability to work independently and within multidisciplinary teams.

Required skills

• Multi‑physics modelling
• 3D printing
• Sensor integration
• Experimental testing
• Signal processing
• Control systems
• Python
• MATLAB
• C++
• LabVIEW