Research Fellow: Data-Driven Atomic Catalysts & ML-DFT

ntu; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University (NTU) in Singapore invites applications for a Research Fellow to work on data-driven discovery of atomic catalysts. The role emphasizes theoretical predictions using DFT and machine learning, plus mechanistic insights into catalytic processes.

The successful candidate will investigate mechanisms via in-situ/operando methods and theory, collaborate across the lab, and contribute to project management, reporting, and proposal writing for external funding.

Qualifications

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

Responsibilities

• Theoretical predictions using DFT and ML for atomic catalysts and understanding mechanisms.
• Investigate mechanisms by in-situ and/or operando techniques and perform theoretical calculations.
• Coordinate collaboration with researchers to maintain progress and support the group.
• Support project management and lab infrastructure, procurement, and equipment setup for in-situ tests.
• Prepare regular progress reports to the PI.
• Write a proposal based on project results for external grant.

Skills

DFT

Machine Learning

Electrocatalysis

Renewable Energy

Education

PhD in Materials Science or Applied Physics

Job description

Nanyang Technological University (NTU) in Singapore invites applications for a Research Fellow to work on data-driven discovery of atomic catalysts. The role emphasizes theoretical predictions using DFT and machine learning, plus mechanistic insights into catalytic processes.

The successful candidate will investigate mechanisms via in-situ/operando methods and theory, collaborate across the lab, and contribute to project management, reporting, and proposal writing for external funding.