Job Description
The successful candidate will work with Associate Professor Wang Xuesen & Dr Shen Lei on computational studies of epitaxial moiré superstructures under a project on the Investigation of Practical Epitaxial Moiré Superstructures with Novel Electronic Properties.
The main responsibilities of the position include:
- To screen through various databases of 2D and bulk materials to identify overlayer-substrate material combinations suitable for epitaxial moiré superlattices
- To carry out DFT-based computations of the electronic structures and other properties of epitaxial moiré superlattices
- To develop AI models to extend large-scale screening and simulation
- To analyze data and draft manuscripts for publication
- To provide guidance and assistance to junior students in this project.
Qualifications
• Qualifications / Discipline: PhD degree in Physics or Materials Science or a closely related field.
• Skills: Have a comprehensive understanding of the novel physical properties of material structures based on various 2D materials. Capable of using various computational software packages, such as VASP or QE, based on density-functional theory (DFT) for the investigation of electronic and related functional properties of 2D materials and their heterostructures. Capable of integrating other approximation frameworks in the DFT-based computational packages to investigate complicated material systems (e.g., non-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority.
• Experience: Has at least 4 years of doing DFT-based computational studies of the electronic structures and other related properties of 2D functional materials, especially their heterostructures and other complicated systems requiring adequate approximate treatment.
More Information
Location: Kent Ridge Campus
Organization: Faculty of Science
Department : Physics
Job requisition ID : 24387
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