Research Fellow (Autonomous Materials Discovery)
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Job Description
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, Defense 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 . MLab is seeking a Research Fellow to support the development and establishment of a robotic and autonomous laboratory for accelerated materials discovery and battery research.
The role will focus on assisting with the integration of automated materials synthesis, sample handling, characterization, electrochemical testing, and data acquisition into coordinated experimental workflows.
The Research Fellow will contribute to the development of high-throughput and autonomous experimentation platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery.
The research will target advanced materials and interfaces for solid-state batteries, aqueous batteries, and other emerging energy-storage technologies.
The successful candidate will work closely with senior researchers, engineers, software developers, and collaborators to establish automated experimental protocols, optimize materials synthesis and screening processes, develop reliable data pipelines, and integrate experimental results with data-driven and machine-learning models.
The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and contributing to research publications, technical reports, and project deliverables.
Key Responsibilities
Support the development and operation of autonomous la