Deutsches Elektronen-Synchrotron DESY | Germany | 22xxx, 21xxx, 20xxx Hamburg | Part time - flexible / Home office | Published since: 17.02.2026 on stepstone.de
PhD student Machine Learning and Data Processing in the field of seismic measurements (m/f/d)
For Hamburg we are looking for: PhD student (m/d) Machine Learning and Data Processing in Seismic Measurements Remuneration group 13 | Deadline: 3 years | Start: 01.04.2026 | ID: MDO002/2026 | Deadline for applications: up to the occupation of position | parttime | Mobile work possible The Deutsche Elektronen-Synchrotron DESY with more than 2900 employees is one of the world's leading research centres in Hamburg and Zeuthen. Research focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. DESY contributes to solving the major issues and pressing challenges of science, society and the economy. With state-of-the-art research infrastructure, interdisciplinary research platforms and international networks, DESY has a highly attractive working environment in the scientific, technical and administrative field, as well as for the training of highly qualified young people. An innovative project for the processing and analysis of seismic data of a large scale Distributed Acoustic Sensing (DAS) network is being carried out in the working group of Dr. Hoffmann. This network is installed on the DESY campus and in the accelerator tunnels of PETRA III and the European XFEL. The aim of the project is to precisely locate seismic sources of interference, to better understand their coupling to building and tunnel structures and thus to improve the beam stability and temporal synchronization in the femtosecond area in the long term. In the course of a project expansion, the use of machine learning methods for automated evaluation of the very large DAS data sets is systematically expanded. The topic of the doctorate is the localization of seismic noise sources with machine learning. .
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Your tasks • Your profile • What we offer
Development of machine learning algorithms for the localization of seismic sources (e.g. on 2D grid cards) Analysis and preprocessing of large DAS data sets Use of synthetic training data from seismic simulations (in cooperation with the postdoc) Assessment of localisation results with regard to physical plausibility and accelerator operation Visualization of the extracted parameters and integration into existing analysis and control systems Close cooperation with interdisciplinary teams at DESY and with external partners Participation in the ErUM-SESAM initiative, in WAVE and other joint projects Participation in public relations and supervision of Bachelor and Master's work
Graduate degree in Physics, Computer Science, Geosciences, Mechanical Engineering or a related subject Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (further languages such as C++, MATLAB of advantage) Experience with Linux-based computer systems and computer clusters desirable Interest in interdisciplinary research at the interface of physics, data science and engineering Good knowledge of English in word and writing and good communication skills
Enjoy a unique working environment on our international research campus. We attach great importance to an esteeming coexistence and well-being of our DESYans. Equality of all people is an important concern to us. DESY offers flexible working hours, variable part-time, job sharing models and participation in mobile work (up to 50%). You benefit from our family-friendly and collegial atmosphere, our established health management and our occupational pension schemes. As a publicly funded employer, we offer you a secure job and support your individual development with our extensive training and further education. The remuneration is based on the regulations of the TV-AVH. DESY offers its employees at both locations an employer grant to the job ticket (Germany ticket). .
Location
![]() | Deutsches Elektronen-Synchrotron DESY | |
| 22607 Hamburg | ||
| Germany |
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