Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Country
- 
                Employer- Technical University of Denmark
- Nature Careers
- Forschungszentrum Jülich
- Loughborough University
- NTNU - Norwegian University of Science and Technology
- Curtin University
- Norwegian University of Life Sciences (NMBU)
- Cranfield University
- Ghent University
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- University of Antwerp
- University of Luxembourg
- University of Sheffield
- University of Utah
- VIB
- Aalborg University
- AcademicTransfer
- Brno University of Technology
- Brookhaven National Laboratory
- COFAC
- Delft University of Technology (TU Delft); Delft
- Dresden University of Technology •
- Edmund Mach Foundation
- Erasmus MC (University Medical Center Rotterdam)
- Harvard University
- IMEC
- IRTA
- Karolinska Institutet, doctoral positions
- La Trobe University
- Leiden University; yesterday published
- Linköpings universitet
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Mälardalen University
- National Renewable Energy Laboratory NREL
- Oxford Brookes University
- Queensland University of Technology
- School of Business, Society and Engineering
- Tallinn University of Technology
- Technical University Of Denmark
- The Ohio State University
- The University of Alabama
- Tilburg University
- Tilburg University; today published
- Umeå University
- Universidade de Coimbra
- Universidade de Vigo
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California
- University of California Davis
- University of California, Los Angeles
- University of Cambridge;
- University of East Anglia
- University of Groningen
- University of Southern Denmark
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Warwick
- University of Washington
- Université Laval
- Uppsala universitet
- Vision Institute
- Warsaw University of Technology
- École nationale des ponts et chaussées
- 56 more »
- « less
 
- 
                Field
- 
                
                
                proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups 
- 
                
                
                the EU Research Framework Programme? European Union / Next Generation EU Reference Number 163829 Is the Job related to staff position within a Research Infrastructure? No Offer Description Data & images 
- 
                
                
                : environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 
- 
                
                
                results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1 
- 
                
                
                This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture 
- 
                
                
                the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular Ecology Group headed by Jørn Henrik Sønstebø 
- 
                
                
                -driven shifts in species distributions. Currently, barnacles and other species are manually counted from over 3,000 images each year, which is time-consuming and prone to human error. This project will 
- 
                
                
                research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of 
- 
                
                
                This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at 
- 
                
                
                related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands