University of Edinburgh
We are looking for passionate and outstanding students to pursue a PhD in the field of computer vision at the University of Edinburgh. Our research focuses on understanding and leveraging the role of the temporal dimension in vision. Possible topics may include integrating motion estimation and high-level understanding tasks, creating novel architectures for temporal modeling, designing new datasets, etc. The expected period of study is 3 years. The successful candidate would be part of a specialized research community in the area, as well as a member of the wider Informatics community, which includes around 400 MSc and PhD students, from all over the world.
The desired qualifications include master’s degree in computer science or related subjects, previous experience in deep learning and strong programming skills (C++/python, pyTorch/TensorFlow). Basic understanding of current methods is preferred (optical flow, video classification approaches, recurrent networks, reinforcement learning).
Interested candidates should send an application containing: CV, 1-2 page research statement, a list of 3 references, transcripts, and relevant papers to laura.sevilla.lara@gmail.com. We can also meet at ECCV.