Expectations for the Graduate School of Frontier Exploration in Earth and Space

We believe that people who acquire skills related to measurement, data analysis, and modeling for space and Earth systems will be extremely important in the industry of the future. In particular, for companies like ours that are built upon measurement and analysis, people who understand the design philosophy behind observation and measurement (including principles, precision, uncertainty, calibration, and reproducibility) and who can transform data into valuable information while ensuring the quality of that data can become central figures in the development of products and the proposal of solutions.

In addition, Earth and space sciences are interdisciplinary fields involving not only science, engineering, and information science, but also international collaboration, standardization, and policy trends. For this reason, acquiring international and interdisciplinary communication skills that enable people to align objectives and requirements among stakeholders from different specializations and positions and build consensus through a common language is indispensable. We believe the Graduate School of Frontier Exploration in Earth and Space’s program, which will cultivate international and interdisciplinary communication skills through collaborative research and other activities with international students, holds tremendous value for translating research outcomes into practical applications and developing products and services for global markets.

R&D, design engineering, application engineer, quality assurance, business planning

Research & Development (R&D)
・Understanding of measurement principles, sensors, and analytical methods / experience in data analysis and signal processing
・Experience in modeling and simulation (physical models and data-driven models)

Design Engineering (Instrument and System Design)
・The ability to define requirements specifications: The ability to translate factors such as precision, detection limits, responsiveness, and environmental durability into technical specifications
・Systems thinking: The ability to envision overall system design combining optical systems, hardware, software, and data processing

Application Engineer
・Understanding of analytical methods and instruments
・Experience handling and preprocessing various types of samples

Quality Assurance
・Understanding data quality management concepts (reproducibility, drift, outliers, and environmental testing)
・Experience in verification, validation, and test planning

Business Planning
・The ability to translate issues into technical requirements: Transforming what customers want to know and what they are struggling with into measurement specifications and evaluation indicators
・The ability to facilitate consensus-building as a bridge between customers, researchers, and in-house development teams through interdisciplinary communication