Research Fellow (Computational Materials Science) 1, Singapore

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: We regret that only shortlisted candidates will be notified. Job Description
We are seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key role in designing composites materials using inorganic solid electrolytes using computational modelling and machine learning. Qualifications
. Ph.D. in Materials Science, Chemistry, Physics, or a related field. . A deep understanding of solid-state physics/chemistry and general physical chemistry. Knowledge of rechargeable battery and electrochemistry is a plus. Experience in computational modelling of inorganic solid electrolyte or other energy materials is desired. . Well-equipped with different tools of materials modelling. Prior experience of computational modelling of functional materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. . Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus. . A track record of publishing papers in decent scientific journals and excellent writing & presentation skills. . Able to collaborate with experimentalist and work with other team members.