Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- University of Oxford
- New York University
- University of North Carolina at Chapel Hill
- ;
- Baylor University
- Heidelberg University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- Royal Holloway
- SciLifeLab
- Technical University of Denmark
- Umeå University
- University of Liverpool
- University of London
- 7 more »
- « less
-
Field
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying statistical and machine learning to real life problems, using a
-
of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in
-
in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech
-
also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
-
vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
-
-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
-
technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
-
projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated