Fujitsu Research of America (FRA) was founded in Silicon Valley to extend the global reach of Fujitsu R&amp;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. Fujitsu Research of America (FRA) is seeking a highly motivated and innovative Researcher to join our newly formed Space Data Frontier Research Center. Research Focus: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. The research will encompass:<ul><li>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).</li><li>Predictive Modeling and Analysis: Designing and implementing AI-powered predictive models for applications such as crop yield forecasting, urban congestion prediction, and infrastructure monitoring. This includes exploring advanced techniques such as deep learning, time series analysis, and causal inference.</li><li>Synthetic Data Generation: Researching and developing methods for generating synthetic satellite data to address data gaps caused by weather or other limitations, ensuring the continuity of analytical processes.</li><li>Real-World Applications: Focusing on developing and prototyping solutions for specific industry challenges in sectors like construction, manufacturing, healthcare, and finance. This includes conducting pilot studies and evaluating the effectiveness of developed solutions.</li></ul> Responsibilities:<ul><li>Conduct original research and publish findings in peer-reviewed journals and conferences.</li><li>Develop and implement algorithms and software prototypes.</li><li>Collaborate with other researchers and engineers within FRA and across global Fujitsu research teams.</li><li>Contribute to the development of research proposals and secure research funding.</li><li>Present research findings to both technical and non-technical audiences.</li><li>Mentor junior researchers and interns.</li><li>Stay abreast of the latest advancements in satellite data analysis, AI/machine learning, and related fields.</li></ul> Qualifications:<ul><li>Ph.D. in Computer Science, Data Science, Remote Sensing, Geographic Information Systems (GIS), or a related field. A strong publication record is essential.</li><li>Proven experience developing and implementing algorithms in Python, utilizing relevant libraries such as TensorFlow, PyTorch, scikit-learn, and GDAL.</li><li>Deep understanding and practical experience with AI/machine learning techniques, including deep learning, time series analysis, and predictive modeling.</li><li>Demonstrated experience working with satellite data, remote sensing technologies, and GIS principles.</li><li>Excellent communication, presentation, and interpersonal skills.</li></ul> Preferred Qualifications:<ul><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Experience with data visualization tools and techniques.</li><li>Familiarity with relevant industry standards and best practices.</li><li>Track record of securing research funding.</li></ul> Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $122,774.40 to $175,392.00 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits. About Us Fujitsu at a Glance Fujitsu is a leading information and communication technology (ICT) company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. We are a corporate culture that places great value on the pursuit of new possibilities previously unimagined and brings them to fruition. This has been the foundation of Fujitsu’s success since its inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in the management environment, technology, society and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you! At Fujitsu, one of our corporate principles is We respect human rights. This principle underpins all our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners. California Consumer Privacy Act (CPPA), read here #LI-KC1Ph.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 TensorFlow, 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.