Research Fellow: Data-Driven Atomic Catalysts & ML

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore’s School of Physical and Mathematical Sciences seeks a Research Fellow to contribute to research on data-driven discovery of atomic catalysts. The role emphasizes theoretical predictions with DFT and machine learning, plus mechanistic studies using in-situ/operando methods in a multidisciplinary setting.

Applicants should hold a PhD in materials science or applied physics with a focus on renewable energy, and have a strong publication record in electrocatalysis.

Qualifications

• PhD in materials sciences or applied physics (renewable energy focus)
• Experience applying DFT and machine learning to atomic catalysts
• Strong publication record in renewable energy materials, electrocatalysis
• Entry-level candidates are welcome to apply
• Demonstrated motivation for tackling grand challenges in multidisciplinary settings
• Excellent teamwork and ability to support a dynamic, interdisciplinary lab environment

Responsibilities

• Perform theoretical predictions using DFT and machine learning to understand atomic catalysts
• Investigate mechanisms using in-situ and/or operando techniques and complementary theory
• Coordinate collaboration with researchers to maintain progress and support related experiments
• Support project management and lab infrastructure, including procurement and equipment setup
• Provide regular progress reports to the PI
• Prepare a proposal based on project results for external grants

Skills

DFT

Machine learning

Publications in renewable energy

Education

PhD in materials science or applied physics

Job description

NTU Singapore’s School of Physical and Mathematical Sciences seeks a Research Fellow to contribute to research on data-driven discovery of atomic catalysts. The role emphasizes theoretical predictions with DFT and machine learning, plus mechanistic studies using in-situ/operando methods in a multidisciplinary setting.

Applicants should hold a PhD in materials science or applied physics with a focus on renewable energy, and have a strong publication record in electrocatalysis.