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9d ago

ESA Graduate Trainee in Autonomous Collision Avoidance Data Validation in Flight Dynamics Operations(m/w/x)

Darmstadt
Full-timeApprenticeshipOn-site
AI/ML

Description

You will help shape the future of space safety by developing autonomous data validation processes, using your C++ and Python skills to enhance critical collision avoidance operations.

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Requirements

  • •Knowledge of technical and functional domains
  • •Experience from internships or projects
  • •General knowledge of space sector
  • •Knowledge of ESA programmes and projects
  • •Result orientation
  • •Operational efficiency
  • •Fostering cooperation
  • •Relationship management
  • •Continuous improvement
  • •Forward thinking
  • •Master's degree in mathematics, physics, or aerospace engineering
  • •Good interpersonal and communication skills
  • •Ability to work in multicultural environments
  • •Independent and team-based work skills
  • •Experience in international teams (advantageous)
  • •Object-oriented programming experience (desirable)
  • •Eligibility for export control access
  • •National of ESA Member or Cooperating States

Education

Master's degree
OR
Currently in higher education

Tasks

  • •Validate orbit-related data across all flight dynamics missions
  • •Gain hands-on experience with real-life flight dynamics operations
  • •Collaborate with support groups on collision avoidance strategies
  • •Develop expertise in C++ and Python software systems
  • •Modify and enhance existing operational tools
  • •Support the deployment of tools for operational use
  • •Define and implement autonomous data validation processes
  • •Adapt existing processes for autonomous collision avoidance

Tools & Technologies

Object-oriented programming

Languages

English – Business Fluent

French – Business Fluent

Benefits

Informal Culture

  • •Inclusive working environment

Other Benefits

  • •Workplace disability support
  • •Recruitment process assistance
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