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 looking for a Postdoctoral Fellow to contribute to building experimental infrastructures for Materials Generative Design and Testing Framework. The role will focus on the design and development of high-throughput experiment setup, utilizations of advanced characterizations such as aberration-corrected electron microscopy, pair distribution function as well as XRD refinement to demystify the microstructure-property of new composition-disordered thermal materials and apply machine learning model to realize performance optimization afterward.
Key Responsibilities:
Design and develop high-throughput synthesis platform for realizing rapid and smooth synthesis of disordered crystalline materials
Integrate coding and rapid synthesis techniques to achieve synthesis automation and performance optimization
Utilizing advanced characterization techniques to unfold the relationship of synthesis-microstructure-property
Collaborate with interdisciplinary teams with computational/experimental backgrounds of chemistry, physics to refine the developed methods and workflows
Assist supervisor in grant writing
Maintenance of lab equipments or supplies that include procurement and liaison with suppliers
Assist or produce high quality reports and documents that consolidate research findings
Mentoring juniors in the group
Publish findings in high-impact journals and present research at conferences
Job Requirements:
PhD in Materials Science, Chemistry, Physics or a related field
Strong expertise and hands-on experience in high-throughput synthesis for new materials
Hands-on experience in advanced characterization techniques like aberration-corrected TEM
Hands-on experience in utilizing related softwares to do crystal structure analysis
Proficiency in at least one programming language for optimization (e.g., scikit-optimize using Python)
Interpersonal skills such as collaborating with internal and external researchers and lead the project
Demonstrated ability to publish in top-tier journals and work in a collaborative research environment
Skilled in academic writing and oral communication
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
