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Paid Internship
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21Open Positions

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Internship (f/m/x) - Data Management for Sky Imagery

German Aerospace Center (DLR)
Found 1 month ago
Location
Almeria, Spain
Duration (Months)
6 Months
Time
Part-time
Work Mode
Not disclosed
Salary
Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • data handling
  • data analysis
  • computer vision
  • git versioning systems
  • software development
  • automated testing
  • version control
  • image-processing technologies

Soft Skills

  • ability to work independently
  • collaborate in an international team

Job Description

Our network of sky cameras generates multiple gigabytes of image data every day, whose management, preprocessing, and effective use place high demands on scalable storage, efficient data access, robust metadata management, and reliable quality control. Addressing these challenges is essential to ensure data integrity, enable reproducible research, and support downstream analyses and machine learning workflows in operational energy meteorology. You work at the interface of data engineering and scientific data management, contributing to scalable data ingestion, structured metadata management, automated processing pipelines, and the integration of heterogeneous observational data, with the goal of keeping complex, data-intensive datasets accessible, well documented, and usable for advanced analysis. You will be part of a diverse and motivated team working on energy-transition topics and contributing to climate protection. Close collaboration with supervisors and colleagues will support you in exchanging ideas and solving challenges. You will gain hands-on experience in software development, automated testing, version control and modern image-processing technologies. A particular highlight of the project is the opportunity to work in Almería, Spain, one of the sunniest locations in Europe.

Requirements

  • You have a strong academic record in a master's program in computer science, physics, mathematics engineering or a related field.
  • experience in Python and basic knowledge about data handling
  • interest in large-scale data management, scientific imaging or computer vision
  • the ability to work independently and collaborate in an international team
  • prior experience in data analysis, computer vision and git versioning systems
  • confident in speaking and writing English

Related Field

  • Data & Analytics

Related Subfield

  • Data Management

Languages

  • English

Nice to Haves

  • scalable storage
  • efficient data access
  • robust metadata management
  • reliable quality control
  • data ingestion
  • structured metadata management
  • automated processing pipelines
  • integration of heterogeneous observational data
  • data provenance
  • dataset versioning
  • dependencies between raw and derived data products
  • automation of data processing pipelines and workflows
  • data management practices aligned with FAIR principles
  • tools for data monitoring
  • exploratory analysis
  • visualization
  • quality control
  • data fusion pipelines
  • metadata schemas
▶Apply Now

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