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Paid Internship
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11Open Positions

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  • ESA Graduate Trainee in Materials, Environments and Contamination Control

    European Space Agency - ESA
    Noordwijk, Netherlands
    Found 2 months ago

ESA Graduate Trainee in Future Engineering Lab & Infrastructure - Advanced Engineering Environments

European Space Agency - ESA
Found 2 months ago
Location
Noordwijk, Netherlands
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • aerospace engineering
  • systems engineering
  • computer science
  • data science
  • mechanical engineering
  • digital engineering
  • AI/ML
  • simulation technologies
  • advanced manufacturing
  • model-based systems engineering (MBSE)
  • digital twin technologies
  • simulation platforms
  • immersive technologies (VR/AR/XR)
  • data analytics
  • AI applications
  • smart manufacturing concepts
  • production process planning
  • advanced inspection methods

Soft Skills

  • Result Orientation
  • Operational Efficiency
  • Fostering Cooperation
  • Relationship Management
  • Continuous Improvement
  • Forward Thinking
  • interpersonal and communication skills
  • work in a multicultural environment
  • work independently
  • work as part of a team
  • Curiosity
  • adaptability
  • Creative problem-solving
  • willingness to challenge conventional approaches
  • Proactive attitude

Job Description

During your traineeship, you will contribute to the creation and operation of the Future Engineering Laboratory, which is envisioned as a modular, scalable and world-class innovation engine. The laboratory will function as a sandbox, model testbed and showcase for advanced engineering, enabling closer collaboration between the European Space Agency and industry, and accelerating innovation for future space missions. You will be involved in activities that support this vision, including: supporting the consolidation and implementation of the Future Engineering Laboratory, including requirements definition, architectural concepts and the integration of digital and physical engineering assets; contributing to the development of a modular and scalable laboratory architecture that can adapt to future needs and evolving technologies; supporting the integration of collaborative digital platforms and engineering tools to enable seamless workflows and data-driven engineering, in close collaboration with the Future Engineering Laboratory/infrastructure and Future Engineering Data Hub; contributing to the definition of engineering environments that support modelling, simulation and advanced engineering processes based on shared and structured data; supporting the use of shared infrastructure for joint pilot projects with industry, enabling experimentation, testing and technology validation; assisting with the definition and application of governance, security and compliance principles to ensure interoperability and the long-term sustainability of the Laboratory; contributing to continuous improvement activities that allow the laboratory to evolve in an agile manner in response to operational business needs; supporting open innovation activities, such as idea campaigns, workshops and demonstrations, to engage internal teams and external partners; participating in preparatory activities related to the development of a future digital model factory, aimed at streamlining design-to-production workflows, simulation and testing; exploring advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques; supporting research and technology development activities related to smart manufacturing concepts, production process planning and advanced inspection methods for space systems; preparing technical documentation, concept notes, presentations and communication material to support decision-making, coordination and outreach activities. Through these activities, you will gain hands-on experience in modern engineering environments and innovation infrastructure, while contributing to the transformation of how future space missions are designed, developed and prepared.

Requirements

  • Knowledge of relevant technical/functional domains
  • Relevant experience gained during internships, project work and/or extracurricular or other activities
  • General knowledge of the space sector and relevant activities
  • Knowledge of ESA and its programmes/projects
  • Familiarity with model-based systems engineering (MBSE) concepts and tools would be an asset.
  • Basic understanding of digital twin technologies, simulation platforms or immersive technologies (VR/AR/XR).
  • Knowledge of data analytics and AI applications in engineering workflows.
  • Interest in advanced manufacturing concepts, such as smart factories, automation and non-destructive inspection.
  • Strong interest in innovation ecosystems, collaborative platforms and open innovation approaches.
  • Curiosity and adaptability to explore emerging technologies and methodologies.
  • Creative problem-solving and willingness to challenge conventional approaches.
  • Proactive attitude toward continuous improvement and shaping future processes.
  • good interpersonal and communication skills
  • should be able to work in a multicultural environment, both independently and as part of a team.
  • Previous experience of working in international teams can be considered an asset.

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Languages

  • English
  • French

Nice to Haves

  • Specialisation or coursework in digital engineering, AI/ML, simulation technologies, or advanced manufacturing would be an asset.
  • Familiarity with model-based systems engineering (MBSE) concepts and tools would be an asset.
  • Basic understanding of digital twin technologies, simulation platforms or immersive technologies (VR/AR/XR).
  • Knowledge of data analytics and AI applications in engineering workflows.
  • Interest in advanced manufacturing concepts, such as smart factories, automation and non-destructive inspection.
  • Strong interest in innovation ecosystems, collaborative platforms and open innovation approaches.
  • Curiosity and adaptability to explore emerging technologies and methodologies.
  • Creative problem-solving and willingness to challenge conventional approaches.
  • Proactive attitude toward continuous improvement and shaping future processes.
  • Previous experience of working in international teams can be considered an asset.
▶Apply Now

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