Postdoctoral Research Assistant in Visual Mapping and Change Detection (3D Visual SLAM, 3D Reconstruction) University of Oxford in United Kingdom

University of Oxford is advertising a Postdoctoral Research Assistant in Visual Mapping and Change Detection within the Oxford Robotics Institute and the Department of Engineering Science, working with the Dynamic Robot Systems Group led by Professor Maurice Fallon.

The project focuses on 3D visual mapping, visual SLAM, feed-forward reconstruction, semantic mapping, and visual change detection for urban and industrial environments. The role emphasizes 360 cameras as the main sensor modality and includes work on multi-session mapping, rich 3D reconstruction, and actionable change detection outputs for long-duration monitoring of physical assets and facilities.

The post is especially relevant to researchers in robotics, computer vision, machine learning, visual inertial odometry, and 3D reconstruction. The advert mentions tools and methods such as VGGT, MapAnything, CLIP, DINOv3, and SAM2. Collaboration is expected with AtkinsRealis, and the researcher may also interact with other groups and collaborators including SNU Korea, the University of Pretoria, and Georgia Tech.

Eligibility: applicants should hold a PhD/DPhil in robotics, computer vision, machine learning, or a closely related field, with a strong academic record in robot perception. Experience in SLAM, mapping, and 3D reconstruction is desirable.

Funding and terms: this is a full-time postdoctoral role funded by UKRI through the ACORN IAA. The appointment is for 12 months, with salary grade 7 listed at £36,340–£47,779 per annum.

Deadline: applications close at midday on 20 July 2026.

How to apply: submit the online application through the Oxford jobs portal, including a covering letter/supporting statement, CV, and details of two referees. Informal enquiries may be sent to Prof Maurice Fallon at [email protected].