"Research Fellow (AI for electrocatalysis)"

Job Description

• Conduct research on electrocatalysis for green hydrogen.
• Combine AI/ML (MLFF, active learning) with high-throughput synthesis and electrochemistry.
• Analyse operando synchrotron X-ray studies (XAS, XPS, GIXRD) with automated data analysis.
• Carry out electrochemical testing (CV, EIS, LSV) under different conditions with automated data analysis.

Qualifications

• Ph.D. in Chemical/Mechanical Engineering, Materials Science, Chemistry, or related field.
• Expertise in electrocatalysis and electrochemical testing for water electrolysis.
• Familiarity with AI/ML for materials or operando synchrotron methods preferred.
• Strong track record of publications, teamwork, and communication skills.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID: 30059

Apply now