Internal Research Fellow – AI, Synthetic Aperture Radar Missions

European Space Agency - ESA

. Develop AI-based methods for onboard SAR data processing close to the sensing level .

Posted 10/7/2026full-timeFrascati • ItalyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI, Machine Learning, and SAR signal processing, with a strong focus on developing innovative methodologies and prototypes for onboard data processing in Earth observation missions. Engages effectively with multidisciplinary teams and the scientific community to drive research and collaboration.

Highest-signal resume keywords

PhD In Relevant FieldAI And Machine Learning ExpertiseSAR Signal Processing KnowledgePython Programming ExperienceTensorFlow Or PyTorch Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Based Methods DevelopmentMachine Learning Model DevelopmentSAR Data ProcessingCognitive SAR ImplementationReal-Time Information ExtractionEvent Detection TechniquesPrototyping And Rapid PrototypingDisruptive Computing TechnologiesEdge Computing KnowledgeAlgorithms Development

Soft Skills

Interpersonal SkillsCommunication SkillsTeam CollaborationMulticultural Environment Adaptability

Tools & Technologies

Deep Learning FrameworksTensorFlowPyTorchFPGAsTPUsVPUsGPUs

Industry Keywords

Earth ObservationRemote SensingOpen DatasetsInnovation EcosystemResearch Collaboration

Tech Stack

Tools & technologies

PythonPyTorchRemote SensingTensorflow

About the role

Key responsibilities & impact

Develop AI-based methods for onboard SAR data processing close to the sensing level
Enable real-time information extraction, event detection, autonomous re-tasking, and cooperative multi-sensor operations for next-generation Earth observation missions
Undertake advanced research using AI, ML, disruptive computing, and related technologies
Develop prototypes for onboard SAR data processing, cognitive SAR, and onboard SAR for 3CS systems
Explore innovative methodologies and technologies
Develop novel methods, technology implementations, ML models, and high-level products
Contribute to open datasets and tools for AI applications and research
Support rapid prototyping activities, research sprints, and open challenges
Engage with the innovation ecosystem and promote uptake of new techniques
Publish research outcomes in high-impact journals
Drive collaboration within the Φ-lab community and ESA internal teams
Contribute to Φ-lab strategy, activities, and outreach on disruptive technologies for Earth observation
Maintain dialogue with the scientific community and international programmes
Support Φ-lab daily activities and research networks
Collaborate with the Φ-lab and avionics and EEE Division to identify, test, and benchmark edge-computing hardware
Conduct research and implement onboard AI prototypes for SAR
Support external R&D activities related to onboard AI for SAR

Requirements

What you’ll need

Recently completed within the past five years, or close to completion of, a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system science, or climate
Thesis subject relevant to the tasks outlined in the posting
Sound knowledge of EO, AI, ML, and related technologies
Knowledge of SAR signal processing and algorithms relevant to the research field
Experience with one or more general-purpose programming languages, such as Python
Experience with general-purpose deep learning frameworks, such as TensorFlow or PyTorch
Interest and ability to share knowledge with other ESA organisational units
Good interpersonal and communication skills
Ability to work in a multicultural environment, independently and as part of a team
Good knowledge of English or French required
Applicants must be nationals of an eligible ESA Member, Associate Member, Cooperating State, or European Cooperating State
Basic screening and possible selection tests may be required
Research proposal of no more than five pages required
Asset: knowledge of onboard AI and edge computing for SAR systems
Asset: experience with edge-computing hardware such as FPGAs, TPUs, VPUs, and GPUs
Asset: knowledge of another Member State language

Benefits

Comp & perks

A stimulating multinational, interdisciplinary and open work environment
Access to high-performance computing infrastructure and unparalleled EO and technology expertise
Unique opportunity to work on innovative solutions to address global challenges
Freedom and focus to conduct creative research while making an impact in relation to ESA’s strategy
Wide network of relationships and collaboration with top academia, industry and research centres
Opportunity to contribute to the Φ-lab strategy and activities
Equal opportunity and inclusive working environment
Workplace support and recruitment assistance for people with disabilities