Research Fellow — Data-Driven Atomic Catalysts

Nanyang Technological University Singapore

Singapore

On-site

SGD 60,000 - 100,000

Full time

14 days+

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Job summary

NTU Singapore's SPMS invites applications for a Research Fellow to lead data-driven discovery of atomic catalysts. You will work across MAS and PAP, combining theory with experiments to advance renewable energy materials.

The role emphasizes collaboration, innovation, and high-impact publications. The candidate should hold a PhD in materials science or applied physics, with proven DFT and machine learning experience related to catalytic systems.

Qualifications

  • PhD in materials science or applied physics with focus on renewable energy.
  • Experience with DFT and machine learning for atomic catalysts.
  • Strong publication record in renewable energy materials and electrocatalysis.
  • Entry-level candidates are welcome to apply.

Responsibilities

  • Theoretical predictions using DFT and machine learning, and mechanistic understanding of atomic catalysts.
  • Investigation of mechanism by in-situ and/or operando techniques and theoretical calculations.
  • Coordinate collaboration with other researchers to maintain progress and support the group experiments.
  • Provide support to project management and lab infrastructure, including procurement and setting up equipment.
  • Make regular progress reports to PI.
  • Write proposals based on results for external grants.

Skills

DFT experience
Machine learning applications
Publications
Team collaboration
Multidisciplinary research

Education

PhD in materials science or applied physics

Job description

NTU Singapore's SPMS invites applications for a Research Fellow to lead data-driven discovery of atomic catalysts. You will work across MAS and PAP, combining theory with experiments to advance renewable energy materials.

The role emphasizes collaboration, innovation, and high-impact publications. The candidate should hold a PhD in materials science or applied physics, with proven DFT and machine learning experience related to catalytic systems.

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