Forschungszentrum Jülich

PhD Position – Mitigating Degradation in High-Temperature Fuel Cells and Electrolysis for Power[...]

Stellenbeschreibung:

PhD Position – Mitigating Degradation in High-Temperature Fuel Cells and Electrolysis for Power-to-X Applications

Institute: Forschungszentrum Jülich – Institute of Energy Technologies – Fundamental Electrochemistry (IET-1)

Location: Germany (Aachen/Cologne region) – PhD within the PHOENIX – Launch Space Power-to-X joint project

Note: This posting consolidates the PhD position details and excludes unrelated content from other postings.

Overview

The PHOENIX – Launch Space Power-to-X project aims to align technology development with the European Green Deal and the energy transition. The PhD position focuses on mitigating degradation in solid oxide cells and advancing high-temperature electrolysis and fuel cells for Power-to-X applications. The work combines numerical modeling, data-driven approaches, and experimental validation to improve steady-state and dynamic performance.

Responsibilities

  • Develop and integrate degradation models for multiscale and multiphysics simulations of solid oxide cells
  • Validate models using experimental data (e.g., IV curves, EIS measurements)
  • Apply ML methods in combination with CFD simulations to determine operating strategies that enhance performance
  • Document, analyze, and evaluate simulation results in the context of current literature
  • Collaborate with interdisciplinary teams at the research center and with national/international partners
  • Present results at conferences, publish in peer-reviewed journals, and contribute to knowledge exchange

Qualifications

  • Master's degree in mechanical engineering, process engineering, chemical engineering, energy technology, or a related field
  • Proven expertise in modeling and simulation; familiarity with CFD tools (e.g., COMSOL, Ansys Fluent, OpenFOAM)
  • Excellent knowledge of thermodynamics, fluid mechanics, and heat and mass transfer
  • Strong programming skills in Python, C++, or similar languages
  • Familiarity with machine learning methods for optimization is an advantage
  • Background in fuel cells, electrolysis, or electrochemistry is advantageous
  • Independent and responsible working style with openness to new topics
  • Strong team spirit and motivation to work in an interdisciplinary environment
  • Excellent written and spoken English

We offer

  • Access to excellent scientific and technical facilities for your work
  • Continuous supervision and guidance from your academic supervisor
  • Flexible working hours and the option of flexible location in coordination with tasks
  • 30 days of vacation plus additional days off
  • Professional development opportunities (e.g., JuDocS)
  • Health and well-being programs, on-site services, and a company health management program
  • Fair remuneration (TVöD-Bund pay group 13, 75%), Christmas bonus (60% of one month’s salary)
  • Fixed-term: 3 years
  • Support for international employees through the International Advisory Service

Important note: A valid work permit for Germany is required for non-EU citizens. Applications without a valid work permit and sufficient German language skills may not be considered.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    03 Nov 2025
  • Standort:

    Jülich

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