Team Leader - Machine Learning and Big Data Analytics in X-Ray Science

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Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helm­holtz Asso­ciation, we aim to tackle the grand societal challenges of our time and conduct research into the possi­bilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one of Europe's biggest research centers and help us to shape change!

Would you like to actively shape the structural change in the Rhenish mining area together with us? With us, you have the chance to join the newly founded Institute for a Sustainable Hydrogen Economy (INW) with your ideas right from the start. Together with the H2 demonstration region, the INW forms the “Helmholtz Cluster for Sustainable and Infrastructure-Compatible Hydrogen Economy” (HC-H2). Here, scientific foundations are laid in the field of innovative hydrogen technologies in order to advance research and development approaches with high sustainability potential and attractive economic prospects. At the institute division “Catalytic Interfaces for Chemical Hydrogen Storage” (INW-1, Prof. Dr. Hans-Georg Steinrück), we investigate mechanisms and processes in (electro-)chemical energy storage systems. For the purposes, we develop and use advanced (X-ray-based) methods as well as modern data reduction and data evaluation methods, including machine learning and big data analytics.

Join our team to the next possible date as

Team Leader – Machine Learning and Big Data Analytics in X-Ray Science

• Master's degree with PhD in physics, chemistry, materials science, chemical engineering, computer science, or a related discipline
• Extensive knowledge of X-ray science
• Profound experience in data analysis, machine learning, and big data analytics
• Extensive experience in Bayesian methods and with computer code repositories
• Experience in the field of energy storage
• Experience in managing scientific stuff, doctoral candidates, or students
• High level of willingness to take an interest in new scientific areas / topics and to familiarize yourself with them quickly
• Strong social and communication skills for leading and collaborating with interdisciplinary teams
• High level of willingness to take on responsibility and develop your own research ideas
• Fluency in written and spoken English
• Very independent, self-motivated, goal-oriented, and strategic way of working but also excellent teamwork skills
• Willingness for regular business trips

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