Research Fellow (AI for Electrocatalysis)

ntu; Singapore; Vor Ort; SGD 60.000 - 120.000; Vollzeit

Zusammenfassung

NTU Singapore is seeking a Research Fellow to develop AI-driven methods for catalyst and energy materials discovery, combining AI with atomistic simulations and data-driven energy systems analysis.

You will lead publications, mentor PhD students, and collaborate with a multidisciplinary team and external partners, reporting progress to the PI and managing funded projects.

Qualifikationen

• PhD in a related discipline (Chemistry, Chemical Engineering, Materials Science, Physics, CS).
• Experience in computational chemistry, atomistic simulations, ML/AI for materials and catalysis.
• Strong Python programming, scientific computing, and data analysis skills.
• Experience with first-principles calculations (DFT) or MD desirable.
• Strong publication record in international journals.
• Excellent written and verbal communication; able to prepare reports and present findings.
• Ability to work independently and collaboratively in a multidisciplinary team.

Aufgaben

• Lead 1-2 high-impact journal publications annually and co-author 2-3.
• Assist the PI in managing funded research projects and report progress regularly.
• Collaborate with a multidisciplinary team and external collaborators.
• Mentor 1-2 PhD students or junior researchers and support their research development.

Kenntnisse

Python programming

Machine learning

Data analysis

Communication skills

Independent work

Ausbildung

PhD degree

Tools

DFT

Molecular dynamics

Jobbeschreibung

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.
• 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