Tätigkeitsprofil:

• Scientific and technical lead of a team focusing on machine learning and big data analytics inX-rayscience
• Development and application of machine learning tools forX-raydata analysis and reduction
• Development and application of big data analytics for largeX-raydata sets
• Application of Bayesian methods toX-raydata
• Combinatorial analysis of various data from complementary measurements
• Development of scientific questions in the field ofX-raydata analysis
• Publication of computer code in repositories
• Close cooperation with other institutes at Forschungszentrum Jülich and collaboration with other working groups
• Publication and presentation of results in high-ranking and recognized journals as well as at national and international conferences
• Participation in synchrotron beamtimes
• Supervision of research staff, doctoral candidates, and students as well as technical personnel
• Acquisition and management of research projects
• Support in setting up the institute

Anforderungsprofil:

• Master’s degree with PhD in physics, chemistry, materials science, chemical engineering, computer science, or a related discipline
• Extensive knowledge ofX-rayscience
• 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

Weitere Informationen