Postdoc -Hydrogen Storage Materials, Institute for a Sustainable Hydrogen Economy, Germany

Postdoc in Germany

Postdoc -Hydrogen Storage Materials: The Institute for a Sustainable Hydrogen Economy (INW) is seeking a motivated Postdoctoral researcher to engage in innovative research on the operando X-ray characterization of hydrogen storage materials. Join our dynamic team to contribute to cutting-edge research that promotes sustainable hydrogen technologies.

Postdoc – Operando X-ray Characterization of Hydrogen Storage Materials

Designation:

Postdoctoral Researcher

Research Area:

Hydrogen Storage Materials and Characterization Techniques

Location:

Brainergy Park Jülich

Eligibility/Qualification:

  • Master’s degree with a PhD in physics, chemistry, materials science, chemical engineering, or a related discipline.
  • Strong background in X-ray methods; experience with synchrotron or neutron methods and/or instrumentation is highly desirable.
  • Knowledge of catalysis and energy storage materials, with an interest in operando characterization techniques.
  • Experience with programming/scripting (ideally Python), and optionally with control systems (SPS/PLC, EPICS, Tango).
  • Fluent in written and spoken English.
  • Independent, self-motivated, with teamwork skills and a high motivation for responsibility and new research directions.
  • Willingness for international travel and extended research stays at partner facilities.

Job Description:

  • Conduct operando investigations of energy materials focusing on chemical hydrogen storage.
  • Design, develop, and optimize advanced sample environments and reactors for high-throughput studies.
  • Apply and further develop X-ray methods (scattering, spectroscopy, imaging) using in-house infrastructure and synchrotron beamlines.
  • Execute operando studies to understand relationships between structure, morphology, performance (reactivity, selectivity, efficiency), and degradation mechanisms under realistic conditions.
  • Participate in beam times at international large-scale research facilities including coordination and setup of experiments.
  • Collaborate with the machine learning team on data workflows and analysis strategies.
  • Contribute to scientific publications, project reports, and international conferences.
  • Supervise and mentor PhD and Master’s students.
  • Support and write third-party funding proposals.
  • Actively contribute to the establishment and operation of the INW Long-Term Characterization X-Ray Laboratory.

How to Apply:

Interested candidates should submit their applications through our online application portal. Please ensure all required documents are included. Note that applications via email cannot be accepted.

Last Date to Apply:

This position will remain open until filled. Early applications are encouraged, as we will review applications on a rolling basis.

We look forward to receiving your application!

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