Senior Stack Scientist - Fuel Cell Stacks

About the role

EH Energy develops fuel cell technology for heavy-duty mobility and large-scale stationary power. As Senior Stack Scientist, you will own the scientific understanding of how stacks perform and age, connecting cell-level electrochemistry with stack-level design, operating conditions and manufacturing. The goal is stacks with higher power density, longer life and repeatable performance.

Key responsibilities

• Lead stack-level performance and durability investigations, from short stacks to full-size stacks.
• Define and run stack test campaigns: polarisation, EIS, cell voltage monitoring, durability and accelerated stress tests under realistic duty cycles.
• Analyse water management, thermal behaviour, gas distribution and cell-to-cell uniformity, and identify what limits performance.
• Investigate stack degradation and failure modes, including post-mortem analysis, and lead root-cause work with the materials, process and design teams.
• Develop and validate electrochemical, thermal and fluidic stack models to guide design choices and operating strategies.
• Set operating windows, conditioning and break-in procedures, and the diagnostic methods used in development and production.
• Translate results into clear requirements for flow fields, bipolar plates, MEAs, sealing and compression.
• Mentor junior scientists and engineers, and present results to internal stakeholders and partners.

Required profile

• PhD or MSc in electrochemistry, chemical engineering, mechanical engineering, materials science, physics or a related field.
• 12+ years of experience in fuel cell stack development or testing (PEM preferred).
• Strong grasp of stack physics: water and heat management, reactant distribution, contact resistance and compression.
• Solid understanding of MEA, GDL and bipolar plate degradation mechanisms.
• Management experience.
• English mandatory; French or German a plus.

Required skills

• Hands-on experience with stack test benches, cell voltage monitoring, EIS and durability/AST protocols.
• Modelling and data analysis tools such as Python, MATLAB or COMSOL.
• Ability to turn complex data into clear, actionable recommendations.