The RIKEN Center for Advanced Intelligence Project (AIP) was created in 2016 to propose and investigate new machine learning methodologies and algorithms and apply them to societal problems. Geoinformatics Unit was founded at RIKEN AIP in 2018.
Geoinformatics Unit aims to develop intelligent systems that monitor and assess the state and changes in urban areas and natural environments from large-scale time-series geospatial data. We study fundamental technologies of geospatial data analysis that can deal with data incompleteness, limited training data, and multimodality. Our applied research includes disaster response, forest monitoring for REDD+, and public health.
Geoinformatics Unit is looking for motivated and skilled internship students who want to work on machine learning in remote sensing. Thesis projects are also welcomed. Potential research topics for the successful candidates include but not limited to
- Multimodal learning for global urban mapping
- Multimodal learning for disaster damage recognition
- Tensor learning for image reconstruction and recognition
- Deep learning in time-series forecasting for public health
We welcome Ph.D. and master students who are passionate, hard-working, positive, and open-minded. We expect applicants to have strong programming skills and be fluent in English. A strong mathematical background and extensive experience in remote sensing data processing are favorable.
Travel and accommodation costs can be supported. Details will be determined based on the qualification of the candidates.
Send a curriculum vitae and a motivation letter to Dr. Naoto Yokoya (naoto.yokoyariken.jp). Specify your technical skills, research interests, and the preferred internship period. There is no strict deadline and the position will remain open until it is filled.
Contact personNaoto Yokoya
Call for interns 2018