Intern in the Systems Department - Space Systems Section

Our team and mission

This internship is hosted by the Space Segment Systems Engineering section (TEC-SYS), which is providing systems engineering support across all ESA directorates in both early and later mission phases. During your internship, you are going to collaborate with experts from both the AI & Advanced Eng. Methods section (TEC-SFA) and the Concurrent Design Facility section (TEC-SFD). TEC-SFA is developing and providing cutting-edge methods and tools to systems engineers across the Agency. TEC-SFD is performing early-phase studies for both internal and external customers to define mission scenarios and high-level system design trades.

Candidates interested are encouraged to visit the ESA website: http://www.esa.int

Field(s) of activity for the internship

Under the supervision of the tutor, you are going to:

• assess the modelling use cases for systems engineering during early phase studies;


• develop a systematic approach to how AI can support modelling mission concepts and spacecraft design options;


• identify the relevant tools and toolchains with which the AI would have to interact;


• develop and evaluate interfaces allowing AI agents to use selected modelling and engineering tools;


• demonstrate the approach through a prototype on representative early phase engineering tasks.

Behavioural competencies

Result Orientation

Operational Efficiency

Fostering Cooperation

Relationship Management

Continuous Improvement

Forward Thinking

For more information, please refer to ESA Core Behavioural Competencies guidebook

Education

You must be a university student, preferably in your final or second-to-last year of university course at Master's level. In addition, you must be able to prove that you will be enrolled at your university for the entire duration of the internship.

Additional requirements

The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another ESA Member State language is an asset.

During the interview, your motivation for applying to this role will be explored.

Experience in systems engineering, early phase studies and concurrent design, as well as experience with Large Language Models, AI agents, software development or engineering modelling tools, is also considered an asset.