Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Schenefeld
- Working Model
- Onsite
Job Technologies
Your role in the team
- Develop and apply machine-learning and GPU-based algorithms for online data analysis and tuning of X-ray experiments at the MID instrument of European XFEL
- Take part of in-house research programs and external user experiments, provide data analysis solutions, training, and software tools
- Act as contact between data science and experimental groups
- Interact closely with other data scientists at European XFEL
- Contribute to scientific output such as written or oral presentations
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Our expectations of you
Education
- PhD degree in computer science, physics or equivalent
Qualifications
- Very good knowledge of Python and/or C++
- Solid understanding of machine learning and other advanced mathematics methods
- Further additions are considered an asset
- Familiarity with software development exploiting GPUs
- Demonstrated ability in handling large data volumes and data streams
Experience
- Experience with X-rays or scattering experiments
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Benefits
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Work-Life-Integration
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Job Locations
This is your employer
European XFEL
The European XFEL in Hamburg-Bahrenfeld is a research facility for X-ray lasers that will open up new areas of research. The short X-ray pulses from the lasers will enable scientists to build viral structures, decode cell structures, create three-dimensional images of nanostructures, and capture chemical reactions on film. It will also allow them to study processes taking place deep inside planets.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research