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Nanyang Technological University, Singapore, invites applications for a Research Fellow in the School of Materials Science and Engineering. The role focuses on integrating automated synthesis, robotic handling, electrochemical testing, and data acquisition into high-throughput workflows for advanced materials and battery research.
The successful candidate will develop autonomous laboratory platforms, collaborate with engineers and researchers, publish results, and contribute to grant proposals.
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.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg
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