Intern – AI and Data Science

European Space Agency - ESA

. Explore and map knowledge-graph and agentic-workflow methods to space-domain use cases .

Posted 10/31/2026internshipNoordwijk • NetherlandsEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Artificial Intelligence and Data Science with a focus on Large Language Models, machine learning, and software design. Proficient in Python programming and familiar with systems engineering and automated reasoning for space applications.

Highest-signal resume keywords

Large Language ModelsMachine Learning ModelsPython ProgrammingROS/ROS2 ExperienceKnowledge Graphs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceData ScienceNeural NetworksDecision TreesAutomated Theorem ProversGate-Based Quantum ComputingExplainable AIFormal MethodsInformation RetrievalAutomated Reasoning

Soft Skills

Good Knowledge of EnglishGood Knowledge of French

Tools & Technologies

ROSROS2Quantum-Circuit SimulatorsAI Pipelines

Industry Keywords

Space ApplicationsSystems EngineeringSafety-Critical SoftwareExport Control RegulationsESA Member States

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Explore and map knowledge-graph and agentic-workflow methods to space-domain use cases
Design, develop, and evaluate prototypes for selected AI and data-science space applications
Investigate Pareto-optimal, human-understandable interpretations for neural-network anomaly detection in autonomous satellite operations
Study LLM-assisted formal specification, code generation, refinement, and verification for safety-critical space software
Integrate quantum-circuit simulators based on automated reasoning into machine-learning pipelines for satellite-image classification
Implement and evaluate an agentic LLM framework issuing rover commands through ROS/ROS2
Integrate pathfinding and collision-avoidance tools and evaluate rover autonomy in lunar simulation and analogue-rover environments
Define evaluation tasks and criteria and develop reproducible frameworks for comparing agentic-AI configurations, models, and reasoning strategies in systems engineering
Conduct research in Artificial Intelligence, Data Science, and related areas supporting future space missions

Requirements

What you’ll need

Must be a university student, preferably in the final or second-to-last year of a Master's-level university course
Must prove enrollment at university for the entire duration of the internship
Good knowledge of English or French required
Knowledge of another ESA Member State language is an asset
Applicants must be eligible to access information, technology, and hardware subject to European or US export control and sanctions regulations
Topic 1: Knowledge of Large Language Models and agentic systems required; familiarity with Knowledge Graphs is an asset
Topic 2: Basic knowledge of machine learning models, particularly neural networks and decision trees, required; interest in explainable AI and familiarity with SAT/MaxSAT solving are assets
Topic 3: Familiarity with Large Language Models and agentic systems, plus a strong background in software design and programming, required; formal methods, automated theorem provers, and LEAN experience are assets
Topic 4: Knowledge of gate-based quantum computing and experience developing AI pipelines in Python required; propositional logic and symbolic AI are assets
Topic 5: Familiarity with Large Language Models and agentic systems required; ROS/ROS2 experience is an asset
Topic 6: Familiarity with Large Language Models and agentic systems and good programming skills, particularly Python, required; systems engineering, AI evaluation, information retrieval, or automated reasoning experience are assets
Applications only considered from nationals of eligible ESA Member States

Benefits

Comp & perks

Internship opportunity at the European Space Agency
Inclusive and diverse working environment
Workplace support and recruitment-process assistance for people with disabilities
Selection-test and recruitment support where applicable