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Author: Yves Gendrault
Slides: PDF
Presentation: Video

Step 1: create your report using the CSDC latex template

Step 2: send your report to Pierre Parrend parrend@unistra.fr, together with :

a proposal for two reviewers of the Complex System community a proposal for reports type: it can be either research or technical papers the e-department of relevance the e-laboratory of relevance

Step 3: the reviews are performed as open peer-review exchange between the reviewers and the author(s) using a shared copy of the reference template for report review.
Reviewers provide accept, major rework, minor rework or reject recommandations. Reviewers also confirm the status of research or technical reports.
In case of major or minor rework, the improvements are made by the authors according to the requirements.

Step 4: acceptation is performed at the unanimity of the reviewers. The report is then affected a unique ARK number and published on the CS-DC Forum.

Two PhD positions in Deep Learning at the Idiap Research Institute, Switzerland[1], 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[2], affiliated with École Polytechnique Fédérale de Lausanne[3], 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[6] 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[7], 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.

[1] http://www.idiap.ch
[2] http://www.idiap.ch/mlg/
[3] http://www.epfl.ch
[4] http://sti.epfl.ch/page-1616-en.html
[5] http://phd.epfl.ch/edic/
[6] http://www.idiap.ch/~fleuret/
[7] https://en.wikipedia.org/wiki/Canton_of_Valais