Geoinformatics

The University of Tasmania is recruiting a Senior Research Fellow or Principal Research Fellow for the Australian Forest and Wood Innovations Centre for Sustainable Resource and Product Solutions. Over four years, the role will turn multi-sensor LiDAR, imaging analytics and geospatial research into practical improvements in forest inventory, monitoring and decision-making. Applicants may come from academia, industry, consulting, government or applied research. Lead projects and teams, build industry partnerships, mentor colleagues and secure research or commercial support. Appointment is at Academic Level C or D, with a base salary of AUD 138,536–180,018 plus 17% superannuation; relocation support may be available. Apply with a current résumé and a cover letter of up to two pages addressing the relevant position description. Applications close at 11:55 pm Tasmania daylight time on 18 October 2026.

Permanent, full-time reader appointment in the School of Informatics, with hybrid working. Research should advance AI methods at the intersection of perception and action. Relevant areas include continual learning, agentic and world models, embodied intelligence, reinforcement learning, decision-making under uncertainty and long-duration autonomy. Responsibilities include original research, undergraduate and postgraduate teaching, and student supervision. The advertised closing time is 23:59 UK time on 20 October 2026.

Investigate how detailed human models reconstructed from multiple videos can be rigged and animated. Review recent methods, propose model or architecture improvements, enhance training datasets and implement a proof of concept for comparative evaluation. Join the KINETIX team at Inria Grenoble. The advertised start is 1 November 2026; remuneration starts at EUR 2,692 depending on qualifications and experience.

Supports learned and generative processing of limited sensor observations in compact, low-power devices. Research topics include generating visual experiences beyond capture constraints, efficient visual encoding for on-device vision-language models, and learned multimodal sensor fusion for object tracking. Proposals should address realistic power, bandwidth, noise and capture constraints and explain how research advances perception. Use the ARA proposal template; four pages excluding appendices are encouraged. Decisions are expected in February 2027. Applications close on 4 November 2026 at 11:59pm Pacific Time.

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 explains the HR inquiry and document-submission process.

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 Science at Cambridge.