Internship in New Programmes and Services Division

Internship for AI Engineering and Prototype

This internship offers a unique opportunity to contribute to innovative applications of Artificial Intelligence (AI) and Machine Learning (ML) in Engineering and Integration, Verification & Validation (IVV) processes at EUMETSAT.

The work supports prototyping activities aimed at automating engineering artefact generation, enhancing traceability, and embedding AI/ML methods into a DevOps-aligned system engineering framework.

Key elements of the project include:

• Support prototyping of AI/ML tools to assist in generating and validating engineering artefacts (requirements, test cases, procedures, reports).
• Contribute to data preparation, analysis, and model evaluation tasks supporting AI-assisted IVV workflows.
• Assist in documenting prototypes and preparing presentations, as well as supporting demonstrations to stakeholders. This will also involve tracking progress using JIRA and contributing to knowledge sharing on Confluence.

• Assist in identifying use cases for AI/ML within IVV and system engineering workflows;
• Support prototyping of AI/ML applications (e.g. test case automation, anomaly detection, document generation);
• Contribute to the integration of AI prototypes within a DevOps-aligned framework (CI/CD, automation, traceability);

• Prepare technical notes, prototype documentation, and results presentations;
• Participate in knowledge-sharing activities and demonstrations of prototypes;
• Support in using JIRA for monitoring and reporting tasks;
• Share knowledge and Information using confluence.

• Have the ability to work effectively in English;
• Be computer literate;
• Be intrinsically motivated and curious about the internship subject;
• Be able to work independently and collaboratively;
• Have the ability to take the initiative in researching ideas;
• Have the ability to collect, collate, conceptualize and present information clearly.

Additional specific requirements:

• Basic knowledge of AI/ML methods and programming (e.g. Python, TensorFlow, PyTorch);
• Understanding of software/system engineering principles;
• Analytical and problem-solving skills.

Desirable:

• Knowledge of JIRA and Confluence would be an added value;
• Familiarity with requirements engineering, verification & validation concepts;
• Knowledge of development automation workflows.