Job Description

Job Summary

BEARS is seeking a highly motivated and creative postdoctoral researcher to carry out machine-learning based first-principle calculations aimed at advancing the understanding defect-based generative design. The position will be based in at the BEARS Consortium in Singapore at CREATE. The researcher will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary. Develop AI/ML models to predict materials reactions using data-driven approach Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis. Analyze and present results in meetings or conferences Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices. Collaborate with experimental team members, including partners in academia, industry, and national laboratories.

Qualifications:

Ph.D. in Chemistry, Materials Science, Chemical Engineering, or a related field. Demonstrated experience in computational methods, including electronic structure and AI/ML frameworks and workflows. Strong publication record. * Experience in code development/advanced python programming