Research Scientist_Sagri

# Recruitment Background Sagri is developing carbon credit and MRV services by combining digital soil mapping, satellite data, and process-based models to quantify soil carbon sequestration and greenhouse gas emissions. To issue carbon credits, it is essential to demonstrate increases in soil organic carbon stocks and reductions in greenhouse gas emissions in a scientifically robust and verifiable manner that can be accepted by certification bodies. To achieve this, the Sagri Applied Science team is building methodologies that integrate satellite observations with user input collected through apps for farmers and supply chains. We are seeking Research Scientists who are excited to contribute to this mission and help create scientifically sound, scalable solutions for carbon credit generation and MRV. # Mission of the Position Our apps are designed to collect only minimal input data from end users, such as farmers and supply chain stakeholders, while still enabling robust estimation of soil organic carbon stocks and greenhouse gas emissions. As a Research Scientist, you will develop digital solutions that power these applications, including: • accurate soil organic carbon prediction models, • tillage and cover crop detection models, • crop–soil agroecological models for estimating SOC dynamics and GHG emissions. These technologies will support carbon credit generation and MRV services, ultimately contributing to climate change mitigation. We welcome candidates with strong expertise in geospatial data science and machine learning for digital soil mapping, as well as a solid foundation in agricultural science, especially agronomy and soil science. Experience in calibrating and validating process-based models is highly valued. A PhD in agricultural science or a closely related field is strongly preferred. # Job Description ◆Specific Job Responsibilities • Collaborate with local field teams in Japan and internationally, primarily overseas, to collect data on crops, soils, and greenhouse gas emissions. • Organize, clean, and preprocess datasets for machine learning model training and process-based model calibration. • Develop, calibrate, and validate models related to soil organic carbon, greenhouse gas emissions, tillage practices, and cover crop detection. • Contribute to proof-of-concept projects, taking responsibility for data collection, analysis, scientific writing, and intellectual property development under the guidance of senior researchers or mentors. • Support the scientific development of methodologies for carbon credit generation and MRV services. ◆Sagri's Development Environment Sagri already has multiple products with strong growth potential, and the range of research and development themes is broad. This role offers the opportunity to work on scientifically challenging and socially impactful projects at the intersection of agriculture, climate technology, and digital innovation. Even if some areas are new to you, you will have the opportunity to take on new challenges and expand your expertise, provided you have the motivation and curiosity to grow. ＜Technologies＞ Languages: TypeScript / Python / Rust Architecture: Redux / Atomic Design Libraries/Frameworks: React.js / Next.js / Django REST framework DB: PostgreSQL (PostGIS) Infrastructure: AWS (EC2 / EKS / S3 / RDS, etc.) Version Control: Git Repository Management: GitHub Communication Tools: Slack / Zoom / Discord / Google meet # Culture ◆About the Department Department: Engineering Dept. Members: 11 [TT1.1]full-time employees Supervisor: CRO Tanaka ◆Department Culture Sagri is a private company, but we offer an environment where you can engage in research activities alongside your duties. You can continue your career in writing papers, attending conferences, and participating in academic societies. Depending on your achievements and suitability, we can consider arrangements where you remain affiliated with a university or research institution while working at Sagri (such as contracting or joint research). We welcome individuals who wish to build their careers in academia or research institutions in the future. #Selection Process - Document screening - First Interview + Presentation - Second interview - Final interview - Offer meeting Join us!

◆Required Experience/Skills ・Proven research achievements using mathematical modeling, statistical analysis, and machine learning. ・Development of machine learning and statistical models. ・Fieldwork experience in agriculture or environmental sectors. ・Ability to write peer-reviewed papers independently (PhD). ・Proficiency in presenting research in English (communication with international business units, reviewing, and writing academic papers).

◆Preferred Experience/Skills ・Holding a PhD.

◆ Who We Want to Work With ・Shares Sagri’s vision, mission, and values. ・Proactively collaborates with universities and research institutions. ・Challenges themselves to develop future-oriented products that solve social issues. ・Expands their work scope beyond their specialty and continuously catches up with new technologies. ・Values team communication and information sharing, with a high willingness to learn new skills. ・Listens sincerely to customer feedback and responds proactively. ・Enjoys working in a fast-paced environment and embraces significant changes.