AI-Driven Electrocatalysis Research Fellow

NANYANG TECHNOLOGICAL UNIVERSITY

Singapore

On-site

SGD 90,000 - 120,000

Full time

3 days ago
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Job summary

Nanyang Technological University in Singapore invites applications for a Research Fellow to advance AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven energy systems analysis.

The role focuses on leading publications, assisting the PI with funded projects, and mentoring 1–2 PhD students while collaborating with a multidisciplinary team and applying Python programming and first-principles techniques such as DFT.

Qualifications

  • PhD in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or related discipline.
  • Demonstrated research experience in computational chemistry, atomistic simulations, machine learning, or AI 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 ML 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.

Responsibilities

  • 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 research team and external collaborators to ensure effective project execution.
  • Assist in supervising 1–2 PhD students or junior researchers and support their development.

Skills

Python programming
Data analysis
Communication
Independent work
Project management
Mentoring

Education

PhD in Chemistry/related field

Tools

DFT
Molecular dynamics
Scientific computing

Job description

Nanyang Technological University in Singapore invites applications for a Research Fellow to advance AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven energy systems analysis.

The role focuses on leading publications, assisting the PI with funded projects, and mentoring 1–2 PhD students while collaborating with a multidisciplinary team and applying Python programming and first-principles techniques such as DFT.

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