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Phd students (3years) in artificial intelligence and robot learning at Inria

Country/Region : Romania

Website : https://flowers.inria.fr

Description

Phd students (3years) in the area of artificial intelligence and robot learning at Inria. Our interests are in developing machines that are able to learn novel skills and capable of natural and robust interaction with people. We focus our research on intelligent exploration techniques, robot learning and automatic learning of representation for artificial intelligence.
One position is open to work in an international research project (with partners from Canada, Sweden, Spain, Belgium and France). The candidates will be involved in research in the areas of deep learning of action and state representations, and interactive machine learning.
The candidates must have strong mathematical competences, experience in machine learning and programming proficiency (e.g. C/C++, Matlab, Python or Java). Knowledge of deep learning and/or experience with real robots is a plus.
Inria is a highly reputed french national center for computer science and automation. It has more than 3000 researchers and is distributed among 8 centers. These positions are for the Flowers Team at Inria Bordeaux Sud-Ouest and will involve travelling for collaborating with the project partners.
Bordeaux is a growing city with a wonderful natural landscape, a very active city life and with a booming economy. Is has a very privileged location: 3h from Paris, 2h from Toulose, 30 minutes from the sea and 2hours from the Pyreness mountains. It has very good travel connections with fast trains and international flights including low-cost companies.
Interested candidates should send a detailed CV, and email addresses of three references to Manuel Lopes at manuel.lopes-AT-inria.fr .
Review of applications will continue until the position is filled. Desired starting date is 1 of November 2015.
http://flowers.inria.fr
http://3rdhandrobot.eu/
http://www.inria.fr
http://www.bordeaux.fr/

Last modified: 2015-08-18 21:56:03