PhD Student in Machine Learning and Data Processing for Seismic Measurements | Doktorandin (w/m/d) Machine Learning und Datenverarbeitung im Bereich seismischer Messungen

Dt Elektronen-Synchrotron DESY Personalabteilung

Hamburg, Hamburg, Deutschland
Published Feb 19, 2026
Part-time
No information

Job Summary

This interdisciplinary research position focuses on the application of machine learning and advanced data processing techniques to seismic measurement data. As a doctoral candidate, you will work at the intersection of physics, data science, and engineering to develop innovative solutions for analyzing complex datasets. Your day-to-day responsibilities will involve programming in high-level languages, managing data on Linux-based clusters, and conducting research within a specialized scientific framework. The role requires a strong academic background in a technical field such as Physics or Computer Science and a deep interest in interdisciplinary collaboration. This position is particularly attractive for researchers looking to apply modern AI and ML methodologies to real-world geophysical or physical challenges, offering the opportunity to contribute to cutting-edge scientific advancements while completing a doctoral degree.

Required Skills

Education

Master's degree or Diploma in Physics, Computer Science, Geosciences, Mechanical Engineering, or a related field.

Experience

  • Professional experience or academic background in data analysis and machine learning
  • Practical experience in programming with Python and C
  • Experience with Linux-based computer systems and high-performance computing clusters is desirable
  • Demonstrated experience in interdisciplinary scientific research environments

Languages

English (Fluent)

Additional

  • Strong communication skills are required. Candidates must have the ability to work in an interdisciplinary environment across physics, data science, and engineering.