Postdoctoral Researcher Fellow

We are looking for a Postdoctoral Researcher/Fellow to conduct cutting-edge research at the interface of artificial intelligence, computational chemistry, and energy materials. The role will focus on developing AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven understanding of complex energy systems. **Key Responsibilities:** Research Outputs: Expected to lead 1–2 and co-author 2–3 high-impact journal publications annually. Project Management: Assist the PI in managing funded research projects and report research progress regularly. Collaboration: Work closely with a multidisciplinary research team and external collaborators. * Research Outputs: Expected to lead 1–2 and co-author 2–3 high-impact journal publications annually. * Project Management: Assist the PI in managing funded research projects and report research progress regularly. * Collaboration: Work closely with a multidisciplinary research team and external collaborators to ensure effective project execution. * Mentorship: Assist in supervising 1–2 PhD students or junior researchers and support their research development. **Job Requirements:** * A Master’s or PhD degree in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related discipline. * Demonstrated research experience in computational chemistry, atomistic simulations, machine learning, or artificial intelligence for materials and catalysis. * Strong programming skills in Python; experience with scientific computing and data analysis. * Experience with first-principles calculations (e.g., DFT), molecular dynamics, or machine learning methods is highly desirable. * A strong publication record in high-quality international journals. * Strong written and verbal communication skills, including the ability to prepare technical reports, present findings, and collaborate with internal and external stakeholders. * Ability to work independently while collaborating effectively within a multidisciplinary research team. * Strong organizational skills with the ability to manage multiple research tasks and meet project deadlines. ​We regret that only shortlisted candidates will be notified. Hiring Institution: NTU