We are looking for a Research 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:
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
Summary
Conduct cutting-edge AI, computational chemistry, and energy materials research, developing AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven understanding of complex energy systems. Requires a PhD in a relevant discipline, demonstrated research experience, Python programming, scientific computing, and a strong publication record.
Responsibilities
Lead 1-2 and co-author 2-3 high-impact journal publications annually; assist the PI in managing funded research projects and report progress; work with a multidisciplinary team and external collaborators; assist in supervising 1-2 PhD students or junior researchers.
Qualifications
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 AI for materials and catalysis; strong publication record in high-quality international journals.
Education requirements
PhD degree in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related discipline.
Experience requirements
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.