About this position
[Background of the recruitment and description of the project]
- Background of the recruitment and description of the project
[Outline of Laboratory / Division]
The RIKEN Center for Advanced Intelligence Project (AIP) is a leading international hub for state-of-the-art AI research. Centered around three core research groups—the Mathematical Intelligence Group, the Domain Intelligence Group, and the Physical Intelligence Group—AIP is dedicated to establishing the mathematical foundations of trustworthy AI, advancing AI technologies integrated with diverse scientific domains, and developing embodied intelligence for the real world.
Real-world environments are observed through diverse sensing modalities, yet the data are inherently incomplete, heterogeneous, and difficult to interpret. While humans integrate multimodal information and language to understand and reason about such environments, building computational systems with comparable capabilities remains a key challenge. The Geoinformatics Team develops multimodal and agentic AI systems for visual and spatial intelligence.
Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study learning from limited data, cross-sensor integration, and scalable reasoning over large-scale time-series data, with applications in disaster response, urban analytics, and environmental monitoring. The team is also developing geospatial agentic AI for disaster risk management and operational decision support through the RIKEN BRIDGE project.
Keywords: machine learning, computer vision, remote sensing, agentic AI, disaster response
For more information, please refer to the following link:
https://aip.riken.jp/labs/domain_intel/geoinf/?lang=en
- details of the business
RIKEN is Japan's largest and most comprehensive research organization for basic and applied science.
[Work content and job description]
The candidate will join the Geoinformatics Team at RIKEN AIP and contribute to the development of multimodal and agentic AI systems for geospatial intelligence. The position is associated with the RIKEN BRIDGE project on geospatial Agentic AI for disaster risk management, which aims to integrate satellite, aerial, ground-based, and simulation data to support disaster risk assessment, situational understanding, and decision making. The research focuses on understanding and reasoning about real-world environments from large-scale, time-series geospatial data, by integrating remote sensing, computer vision, machine learning, and natural language processing.
The candidate is expected to conduct research on fundamental problems such as multimodal learning, cross-sensor data fusion, spatial-temporal modeling, and scalable reasoning from incomplete and heterogeneous observations. The position also involves developing vision–language models and agentic AI systems that enable interactive understanding and decision support, particularly for disaster risk management and response. The candidate is expected to publish research outcomes in top-tier conferences and journals, contribute to collaborative projects related to geospatial AI and its real-world applications, and support the supervision of students and junior researchers.
The job description may be changed during the contract period or upon contract renewal to the extent described above.
- Assigned department
Existing departments
[Work location]
- Address
103-0027 Tokyo , 1-4-1 Nihonbashi, Chuo-ku, RIKEN Tokyo Campus
RIKEN may order the employee to change work locations, if necessary, in accordance with RIKEN regulations.
[Number of hired]
Number of hired:2 person(s)
Number of hired description:Job title
Postdoctoral Researcher: 2 positions
Postdoctoral Researcher
Receive training and guidance from senior staff; conduct research projects and other activities for Programs or equivalent.
Basically defined as those with a doctoral degree of 5 years or less.
- The applicant will be assigned to an appropriate position based on his/her ability, aptitude, etc.
Job content supplemental explanation:Start of Employment
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