Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Norwegian University of Life Sciences (NMBU)
- Cranfield University
- Linköpings universitet
- Nature Careers
- Technical University of Denmark
- Forschungszentrum Jülich
- Loughborough University
- University of Luxembourg
- Aalborg Universitet
- CNRS
- Curtin University
- Delft University of Technology (TU Delft)
- Graz University of Technology
- Leiden University
- Linköping University
- Mälardalen University
- Newcastle University
- Tallinn University of Technology
- Technical University of Munich
- UiT The Arctic University of Norway
- University of Amsterdam (UvA)
- University of Exeter
- University of Exeter;
- University of Innsbruck, Institute of Computer Science
- University of Nottingham
- University of Southern Denmark
- University of Tübingen
- Uppsala universitet
- Academic Europe
- Brookhaven National Laboratory
- COFAC
- CWI
- Carnegie Mellon University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Computer Vision Center
- Computer Vision Center (CVC)
- DAAD
- Delft University of Technology (TU Delft); Delft
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e)
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- IMEC
- IRTA
- Institute of Image-Guided Surgery of Strasbourg
- Instituto de Telecomunicações
- La Trobe University
- Liverpool John Moores University
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Luleå tekniska universitet
- Maastricht University (UM); yesterday published
- Manchester Metropolitan University
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Northeastern University
- Oxford Brookes University
- Queensland University of Technology
- Saarland University •
- School of Business, Society and Engineering
- The University of Alabama
- The University of Edinburgh
- UNIVERSITY OF BUCHAREST
- Universidade de Vigo
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- University of Antwerp
- University of Birmingham;
- University of Cambridge
- University of Copenhagen
- University of East Anglia
- University of Galway
- University of Oxford;
- University of Sheffield
- University of Southern Queensland
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Warwick
- VSB - Technical University of Ostrava
- Vrije Universiteit Brussel
- noma de Barcelona
- École nationale des ponts et chaussées
- 77 more »
- « less
-
Field
-
specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
-
learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning for computer vision
-
Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
-
The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
-
programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable, highly motivated and enthusiastic about advancing AI for societal impact. Qualifications A high
-
24 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain
-
PhD Project in Data Science and Geometric Models of Morphology and computer vision for detection and segmentation in plant images Department of Computer Science Faculty of SCIENCE University
-
, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
-
systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots