Two PhD positions in Deep Learning at the Idiap Research Institute, Switzerland, starting as early as possible but can be delayed if necessary.
** Please apply on-line at http://www.idiap.ch/~fleuret/apply **
The Machine Learning group at the Idiap Research Institute, affiliated with École Polytechnique Fédérale de Lausanne, seeks two PhD students in deep learning and computer vision to work on real-time semantic segmentation.
The candidates will be doctoral students at EPFL[4,5], working under the supervision of Dr. François Fleuret at the Idiap Research Institute.
Applicants must be self-sufficient programmers and have a strong background in mathematics. They should be interested in, and familiar with, applied probabilities, information theory, signal processing, optimization, algorithmic, and development in deep-learning frameworks.
The Idiap Research Institute is located in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and within close proximity to Lausanne and Geneva. The working language of Idiap is English.