PhD candidates (100%) in geometric deep learning for image and point cloud processing in Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The EcoVision Lab, led by Dr. Jan Dirk Wegner and Prof. Konrad Schindler, and the Data Analytics Lab, led by Prof. Thomas Hofmann, are seeking applications for PhD positions. We are looking for two

The successful candidates will work on a project which is a close collaboration between the Data Analytics Lab and the EcoVision Lab. One PhD student will be based in the Data Analytics Lab whereas the other will be based in the EcoVision Lab. We will develop novel geometric deep learning methods to analyse non-grid structured data to predict 3D CAD models from raw, unstructured 3D point clouds and to generate topographic maps directly from 2D overhead images. Prior experience in machine learning, computer vision and remote sensing is a plus, fluency in English is required (both written and spoken).

We look forward to receiving your online application including the following documents: motivation letter, curriculum vitae, school and university score records, contact details of at least two referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. The deadline for applications is the 30th of June 2019. Selection will start immediately, so early submissions are encouraged.