Intern in the Space Training Team, Machine Learning (CAVES & PANGAEA)
Job Requisition ID: 19645
Date Posted: 13 June 2025
Closing Date: 11 July 2025 23:59 CET/CEST
Publication: External Only
Type of Contract: Intern
Directorate: Human and Robotic Exploration
Workplace:Porz-Wahn, DE

EDUCATION

You must be a university student, preferably in your final or second-to-last year of a university course at Master’s level and you need to remain 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 Member State language would be an asset.
Candidates should possess practical experience in classification techniques, particularly those based on Machine Learning supervised classification.
Relevant experience includes, but is not limited to, data mining, data fusion, statistics, clustering, signal decomposition/unmixing, incremental few-shots learning, or other alternative classification methodologies.
Experience in processing and analyzing data derived from analytical instrumentation, or working with databases, is also valuable.
Academic or professional proficiency with the programming languages and frameworks currently used in the project is required, specifically Python, TensorFlow, Keras, Scikit-learn, Numpy, and matplotlib.
Additional experience with Jupyter notebooks and the analysis and visualization of scientific data would be considered a plus.
Experience in integrating MLOps software and datasets together will be considered a valuable asset.

Please refer the Job description for details