Hydrogen Fuel Cell Scientist — AI-Driven Materials R&D

Hong Kong Quantum AI Lab Ltd; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Hong Kong Quantum AI Lab seeks a PhD-level researcher to design, prepare and characterize catalysts and other functional materials for next-generation fuel cells. You will work across materials preparation, electrochemical testing and integration into electrodes and membrane assemblies.

You will publish findings, contribute to technical reports and collaborate with AI and robotics teams to enhance experimental workflows in a multidisciplinary environment.

Qualifications

• PhD required in chemistry, chemical engineering, materials science, electrochemistry or related field.
• Hands-on experience in preparation and electrochemical testing of catalysts, electrodes or other materials for fuel cells or related energy-conversion applications.
• Strong evidence of scientific excellence through publications, research achievements or industrial R&D.

Responsibilities

• Design, prepare and characterise catalysts and other functional materials for fuel cells.
• Evaluate electrochemical activity and durability, from materials-level measurements through to fuel cell testing.
• Integrate promising materials into electrodes and membrane electrode assemblies, and optimise their performance.
• Publish research findings and contribute to technical reports and research proposals.
• Collaborate with colleagues in AI and robotics to improve experimental workflows and laboratory capabilities.

Skills

Electrochemical testing

Catalyst preparation

Materials for fuel cells

Education

PhD in chemistry / chemical engineering / materials science / electrochemistry

Tools

MOF synthesis

Job description

Hong Kong Quantum AI Lab seeks a PhD-level researcher to design, prepare and characterize catalysts and other functional materials for next-generation fuel cells. You will work across materials preparation, electrochemical testing and integration into electrodes and membrane assemblies.

You will publish findings, contribute to technical reports and collaborate with AI and robotics teams to enhance experimental workflows in a multidisciplinary environment.