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