PhD Candidate in Machine Learning for Conservation of Historic Buildings Norwegian University of Science and Technology in Norway

Fully funded PhD opportunity at the University of Sheffield in Digital and Data-Driven Life Cycle Assessment for Low-Carbon Battery Manufacturing . The project sits within the EPSRC MADE4Manufacturing CDT and combines life cycle assessment , machine learning , digital technologies, and sustainable battery manufacturing . It offers strong industrial collaboration and training opportunities. Funding includes a £28,000 annual tax-free stipend and a £35,000 research and training support budget over ...

PhD Research Fellow in Structured Vision-Language Models at the University of Oslo , Norway, in the research centre Integreat – the Norwegian Centre for Knowledge-driven Machine Learning . This PhD project focuses on a major limitation of current vision-language models (VLMs): while they can identify objects in an image, they often fail to understand what is happening and how objects relate to each other. The project aims to address this by developing panoptic scene graphs , where objects and ba...

PhD opening at Norwegian University of Science and Technology (NTNU) in Societal readiness for AI-supported Life Cycle Assessment of buildings . This position is based in the Energy and Environment Group at the Department of Architecture and Technology , with collaboration involving SINTEF Industry , NTNU Social Research, and related research centres/projects in sustainable buildings and neighbourhoods. The project sits at the intersection of Architecture , Environmental Science , Computer Scien...

PhD opportunity at the University of Victoria in the Gharehkhani Group, co-supervised by Prof. James Olson and Prof. Peter Wild. The project focuses on developing novel wood-based materials, with particular attention to microfibrillated cellulose and the refining process. The research combines experimental work with extensive data analysis and may include machine learning tools to improve process understanding and materials development. Preferred backgrounds include mechanical engineering, pulp ...

PhD Candidate in Machine Learning for Temporal and Spatiotemporal Data The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, invites applications for a four-year PhD position in machine learning. The project is part of STRIDE, an interdisciplinary initiative studying the resilience of transport systems under disruptions. The research will develop deep-learning methods for temporal and spatiotemporal data, including multivariate time...