Senior Researcher; Space Data Frontier Research

Senior Researcher (Space Data Frontier Research)

Location:

California, Santa Clara, California. Primary Location Only. Req . Posting

Start Date:

1/20/26.

At Fujitsu, we’ve been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities.

Fujitsu Research of America (FRA) was founded in Silicon Valley to extend the global reach of Fujitsu R&D. By conducting advanced research across several key technologies such as AI and quantum computing, FRA supports Fujitsu’s purpose to make the world more sustainable by building trust in society through innovation.

FRA is seeking a highly motivated and innovative Researcher to join our newly formed Space Data Frontier Research Center.

This position offers a unique opportunity to contribute to a cutting‑edge research program focused on the fusion of satellite data with diverse data sources to create novel applications, particularly for the secondary and tertiary industries.

• Novel Data Fusion Techniques: Developing and implementing algorithms for integrating satellite data with meteorological data, IoT sensor data, socioeconomic data, and industrial data (e.g., PMS, EMR).
• Predictive Modeling and Analysis: Designing and implementing AI‑powered predictive models for applications such as crop yield forecasting, urban congestion prediction, and infrastructure monitoring, including advanced techniques such as deep learning, time series analysis, and causal inference.
• Synthetic Data Generation: Researching and developing methods for generating synthetic satellite data to address data gaps caused by weather or other limitations, ensuring continuity of analytical processes.
• Real‑World Applications: Developing and prototyping solutions for specific industry challenges in sectors like construction, manufacturing, healthcare, and finance, including conducting pilot studies and evaluating effectiveness.

• Conduct original research and publish findings in peer‑reviewed journals and conferences.
• Develop and implement algorithms and software prototypes.
• Collaborate with other researchers and engineers within FRA and across global Fujitsu research teams.
• Contribute to the development of research proposals and secure research funding.
• Present research findings to both technical and non‑technical audiences.
• Mentor junior researchers and interns.
• Stay abreast of the latest advancements in satellite data analysis, AI/machine learning, and related fields.

• Ph.D. in Computer Science, Data Science, Remote Sensing, Geographic Information Systems (GIS), or a related field. A strong publication record is essential.
• Proven experience developing and implementing algorithms in Python, utilizing relevant libraries such as Tensor Flow, PyTorch, scikit‑learn, and GDAL.
• Deep understanding and practical experience with AI/machine learning techniques, including deep learning, time series analysis, and predictive modeling.
• Demonstrated experience working with satellite data, remote sensing technologies, and GIS principles.
• Excellent communication, presentation, and interpersonal skills.

• Experience with cloud computing platforms (AWS, Azure, GCP).
• Experience with data visualization tools and techniques.
• Familiarity with relevant industry standards and best practices.
• Track record of securing research funding.

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. The pay range for this role is estimated at $ to $ USD. Additionally, this role may be eligible for a short‑term incentive based on company results and individual performance.

Relocation Supported:
No
Visa Sponsorship Approved:
Yes

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.