Research assistant for AAI and federated services project ROCK-IT

For our location in Hamburg we are seeking:

Research assistant for AAI and federated services project ROCK-IT

Limited: 2 years | Starting date: earliest possible | ID: FSMA010/2024 | Deadline: open | Full-time/Part-time | Remote work possible

DESY, with more than 2900 employees at its two locations in Hamburg and Zeuthen, is one of the world's leading research centres. Its research focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists.

This position is part of the Helmholtz ROCK-IT (remote, operando controlled, knowledge-driven, IT‑based) project, with the goal to develop and establish fully automatic measurements using different synchrotron radiation-based techniques in the field of catalysis. ROCK-IT is a collaboration between Deutsches Elektronen-Synchrotron (DESY), Helmholtz-Zentrum Berlin (HZB), Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and Karlsruher lnstitut für Technologie (KIT). The centers are working closely together with the goal of establishing similar and ideally exchangeable installations at the different research centers. The position is affiliated with the DESY IT department and strongly linked to the Photon Science department, which supports beamlines at the X-ray laser FLASH and the synchrotron radiation source PETRA Ill. Within the scope of the Rock-IT project we are a team of scientists and engineers working closely together to develop and implement experiment control systems that are optimized for new methods used in high-throughput experiments that offer connectivity to ML-based online data analysis. For our developments we aim at providing the highest possible degree of automation e.g. by using robotic arms and ML supported data analysis.