Principal Researcher

Location Flexibility:
Multiple Locations in Country

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The Space Data Frontiers Research Center (Space Center) at Fujitsu specializes in pioneering business opportunities in space-related technologies. The center focuses on using AI and advanced computing to process, analyze, and utilize data from space in real-time, aiming to support both Earth-bound industries and future human space exploration.

We are seeking a visionary and hands-on Principal Researcher to define and drive the scientific and technical foundation of our next-generation Earth Intelligence Platform
. In this role, you will lead research at the intersection of Earth Observation (EO), geospatial analytics, and artificial intelligence (AI/ML). You will architect scalable, multi-modal data synthesis frameworks that translate vast streams of satellite, aerial, in-situ, and climate data into actionable insights for global decision-making, sustainability, and industrial applications.

As a senior research leader, you will bridge the gap between cutting-edge scientific innovation, enterprise-grade platform architecture, and real-world strategic impact.

• Define the Scientific
  
  Roadmap:
  
  Lead the long-term research vision for multi-source Earth data fusion, physical-AI modeling, and geospatial intelligence.
• Algorithm & Model Development: Conceptualize and prototype novel machine learning models (e.g., geospatial foundation models, computer vision for EO, spatio-temporal neural networks, and physical-data hybrid models).
• Cross-Domain Innovation: Develop methods for scaling planetary-level analysis, including land-use monitoring, disaster response dynamics, climate risk modeling, and global supply chain tracking.
• Multi-Modal Data Fusion: Architect approaches to integrate heterogeneous datasets—including optical, SAR, hyperspectral, IoT sensor networks, weather, and oceanographic data—into unified, queryable frameworks.
• Scalable Analytics: Partner with engineering teams to translate experimental algorithms into production-ready, low-latency APIs and platform capabilities.
• Standards & Interoperability: Ensure platform alignment with modern geospatial standards (e.g., STAC, COG, OGC standards) and big-data processing paradigms.

• Publication & IP: Publish high-impact research in top-tier peer-reviewed journals and conference proceedings (e.g., Remote Sensing of Environment, IEEE TGRS, NeurIPS, ICML). File patents where applicable.
• Stakeholder Engagement: Translate complex technical and planetary science concepts into clear value propositions for executive leaders, industry partners, and institutional stakeholders.
• Mentorship: Guide and mentor intern researchers and engineers to foster a culture of research rigor and fast-paced experimentation.

• Education: Ph.D. in Remote Sensing, Geospatial Information Science (GIS), Computer Science, Earth System Science, Geophysics, or a closely related quantitative field.
• Experience: 2+ years of post-PhD research experience (or equivalent industry experience) developing algorithms and systems for large-scale…