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Forschungszentrum Jülich

Postdoc - Thermochemical Operando Synchrotron XAS and AI-Enhanced Reactor Engineering for Advanced LOHC (De)hydrogenation Catalysts (within the SNU/FZJ Energy Fellow Program)

On-site • Jülich, Germany • Unknown • Не указана
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Опубликовано
14 ч назад
Описание

The SNU/FZJ Energy Fellow Program is a prestigious international postdoctoral research program between Seoul National University (SNU) in South Korea and Forschungszentrum Jülich (FZJ). The two-year program offers the opportunity to conduct research at both institutions, starting with a one-year employment at FZJ, followed by a second year at Seoul National University in Seoul under a separate one-year employment at SNU (or vice versa).

This position is joint between FZJ’s institute division "Catalytic Materials for Chemical Hydrogen Storage" (IHE-2), led by Prof. Dr. Regina Palkovits and Prof. Sangwook Park from SNU.

The goal of this research topic is to understand dynamic active-site transformations and kinetic degradation mechanisms in liquid organic hydrogen carrier (LOHC) systems by combining custom operando XAS reactor design, precision catalyst synthesis, and AI-driven data analysis.

Your Job

  • LOHC Catalyst Synthesis & System Optimization: Synthesize and characterize novel, low-precious-metal catalysts tailored for efficient LOHC hydrogenation and dehydrogenation processes, leveraging Dr. Regina Palkovits’s pioneering approaches in sustainable chemical hydrogen storage
  • Operando XAS Reactor Engineering: Design and construct specialized thermochemical flow reactor systems optimized for synchrotron in situ / in operando XAS measurements under realistic temperature, pressure, and dynamic fluid conditions
  • Multimodal Ex/In Situ Characterization: Correlate local electronic and atomic structure evolution (via operando XAS) with macro-scale catalyst performance, using comprehensive ex situ X-ray and electron microscopy techniques to identify deactivation and restructuring pathways at the catalyst–LOHC interface
  • AI-Driven Data Analytics & Computer Vision: Integrate AI models for automated processing and feature extraction of high-th...

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