伯尔尼大学PhD Positions in Machine Learning and Computer Vision申请条件要求-申请方
Organizer
University of Bern
Description
We have openings for 2 PhD positions in the areas of machine learning and computer vision. One position is on motion estimation (such as optical flow and structure from motion) via deep learning. The other position is on unsupervised learning methods with multiple modalities (eg, text, images, audio). Research will be performed in the Computer Vision Group at the University of Bern. The positions are immediately available and will be filled as soon as a suitable candidate is found.
You will be part of a team of academic researchers working on state of the art technologies for machine learning and computer vision. You will have the chance to contribute to and participate in the international research community. We are located in Bern in the core of Switzerland, one of the cities with the highest quality of life worldwide.
University of Bern PhD Positions in Machine Learning and Computer Vision项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
Honors
You will receive a very competitive salary and be given financial support to attend training courses and international conferences.
University of BernPhd申请条件和要求都有哪些？PhD Positions in Machine Learning and Computer Vision项目是不是全奖？有没有奖学金？下面我们一起看一下University of Bern申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
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.
How to register
Application Website
Professor
Prof Paolo Favaro
Paolo Favaro received the Laurea degree (B.Sc.+M.Sc.) from Università di Padova, Italy in 1999, and the M.Sc. and Ph.D. degree in electrical engineering from Washington University in St. Louis in 2003 and 2004 respectively. He was a postdoctoral researcher in the computer science department of the University of California, Los Angeles and subsequently in Cambridge University, UK. Between 2004 and 2006 he worked in medical imaging at Siemens Corporate Research, Princeton, USA. From 2006 to 2011 he was Lecturer and then Reader at Heriot-Watt University and Honorary Fellow at the University of Edinburgh, UK. In 2012 he became full professor at Universität Bern, Switzerland. His research interests are in computer vision, computational photography, machine learning, signal and image processing, estimation theory, inverse problems and variational techniques. He is also a member of the IEEE Society.
Email：paolo.favaro@inf.unibe.ch
Tel.：+41 (0)31 684 4451
Personal website：Click to view the person website
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