PhD Position in Computer Vision 90 %
University of Bern, Institute of Computer Science, Computer Vison Group
Start of employment: 01.01.2025, at the earliest
Duration of employment: 4 years
Institute of Computer Science is the science of representing and processing information, and it lies at the foundation of today's Information Age. By performing research in various ares in computer science, the Institute of Computer Science contributes to the development of one of the most important branches of science in the 21st century. In our Bachelor, Master, and PhD programs we educate the next generation of innovators in computer science.
Start of employment: 01.01.2025, at the earliest
Duration of employment: 4 years
Institute of Computer Science is the science of representing and processing information, and it lies at the foundation of today's Information Age. By performing research in various ares in computer science, the Institute of Computer Science contributes to the development of one of the most important branches of science in the 21st century. In our Bachelor, Master, and PhD programs we educate the next generation of innovators in computer science.
Tasks
We have an opening for a PhD position in computer vision. The main research topic of this position is 3D object reconstruction and animation from real videos.
This project is based on unsupervised learning, that is, it uses datasets that do not have human labeling/annotation (eg, text, bounding boxes, pose, skeletons) and does not rely on prior models built through supervision (eg, segmentation methods, depth map predictors, object classifiers). One of the main challenges is to handle the deformation of objects since the object categories are unknown.
Requirements
We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, creative research. You hold a Master of Science in Computer Science, Mathematics or Engineering, with a solid background in machine learning and computer vision. You have excellent skills in applied mathematics, in probability theory, and a programming language (e.g., Python, C/C++). You have a solid background in Deep Learning, and you are already a proficient programmer in one of the main Deep Learning libraries (e.g., TensorFlow, PyTorch). We expect fluent communication skills in English.
We offer
Application and contact
Please send your application by no later than
Applications must be submitted to Prof Paolo Favaro, through the submission website link: .
Applications submitted directly via email will not be considered!
Prof. Dr. Paolo Favaro, Tel. +41 (0)31 684 44 51 (office), Tel. +41 (0)31 684 49 14 (secretary), Write an email, www.cvg.unibe.ch
About the company
