Topic: Remote sensing

Srinivasan Keshav (University of Cambridge) presents an interface designed to help ecologists use AI for remote sensing despite unfamiliarity with embeddings and algorithms. The Tessera Embeddings Explorer lets practitioners privately explore a region of interest, create habitat maps and perform regressions using their domain expertise and ground-truth knowledge. The talk demonstrates the tool and explains the design principles and the software architecture that follows from them, connecting usable ecological workflows with AI representations. Keshav is the Robert Sansom Professor of Computer

A 17-month postdoctoral fellowship investigates heat-vulnerability indicators in Jundiaí, Brazil, to inform urban cooling and climate-adaptation decisions. The research combines data analysis, geoprocessing, fieldwork and collaboration with municipal staff. The researcher must be able to reside in Campinas and travel to Jundiaí. Applications close on 8 October 2026; the official selection notice specifies the cover letter, reference and CV requirements.

Two postdoctoral positions in Naoto Yokoya’s Geoinformatics Team at RIKEN AIP develop multimodal and agentic AI for disaster-risk assessment and geospatial decision support. Research combines satellite, aerial, ground and simulation data with computer vision, machine learning and language models. Responsibilities include research publication, collaboration and support for junior researchers. The Tokyo appointment is renewed annually, subject to evaluation and project continuation, through March 2029 at the latest. Applications are accepted until the positions are filled; the official vacancy e