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