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ESA Graduate Trainee in LLM Applications for Technical Management in Sentinel-2 Next Generation

European Space Agency - ESA
Found 2 months ago
Location
Noordwijk, Netherlands
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • large language models
  • software development
  • engineering datasets
  • computing environments
  • space sector
  • Copernicus
  • Sentinel-2 Next Generation

Soft Skills

  • Good interpersonal and communication skills
  • ability to work in a multicultural environment
  • independently and as part of a team
  • Result Orientation
  • Operational Efficiency
  • Fostering Cooperation
  • Relationship Management
  • Continuous Improvement
  • Forward Thinking

Job Description

Contribute to feasibility and preliminary definition activities for Earth observation projects. You will contribute to feasibility and preliminary definition activities for an Earth observation development project within Copernicus, focused on Sentinel-2 Next Generation. The work will concentrate on the definition and early implementation of large language model applications that enhance the technical management of a space project by improving traceability, consistency, and timeliness of engineering information. Activities will include gathering and structuring user needs and use case scenarios; supporting requirements capture, decomposition and bidirectional traceability; and preparing technical material to enable efficient project reviews and decision making. You will perform early trade off analyses for candidate architectures and workflows, including options for centralised technical knowledge bases, automated technical reporting, and analysis of project data to identify patterns, outliers and emerging risks. You will develop and evaluate proof of concept prototypes, define an initial verification and validation approach for model outputs, and propose metrics and test datasets aligned with project management use cases. You will also contribute to infrastructure concept definition and security considerations for deployment environments, support meeting preparation and action tracking, and maintain concise technical notes to capture decisions and rationale. The overall objective is to provide review ready, evidence based inputs that accelerate feasibility assessment and preliminary definition while establishing a robust foundation for later implementation and operational use.

Requirements

  • Just completed or in the final year of master’s degree in engineering with familiarity in using large language models.
  • Experience in the design, development, and validation of large language models.
  • Practical software development capability suitable for prototyping and evaluation.
  • Ability to define, structure, and verify requirements and acceptance criteria for engineering workflows and tool outputs.
  • Experience analyzing engineering datasets to identify patterns, outliers, and data quality issues.
  • Good interpersonal and communication skills and ability to work in a multicultural environment, both independently and as part of a team.
  • Working knowledge of computing environments used for modern model development.
  • 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
  • Result Orientation
  • Operational Efficiency
  • Fostering Cooperation
  • Relationship Management
  • Continuous Improvement
  • Forward Thinking
  • Practical software development capability suitable for prototyping and evaluation (for example: structured coding, version control, reproducible runs, and basic testing discipline).
  • Experience analysing engineering datasets to identify patterns, outliers, and data quality issues, and summarising findings in written technical notes.
  • Working knowledge of computing environments used for modern model development and execution (for example: cloud computing or high performance computing), including basic operational constraints.
  • You should have good interpersonal and communication skills and 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

  • Software QA & Testing

Languages

  • English
  • French

Nice to Haves

  • Previous experience of working in international teams
  • Knowledge of another Member State language
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