Overview

The Perception and Activity Understanding group (Jean-Marc Odobez, http://www.idiap.ch/~odobez/), along with the Robot Learning and Interaction group (Sylvain Calinon, http://calinon.ch) at Idiap (www.idiap.ch), seeks one motivated postdoctoral fellow to work on interaction strategies and deep learning for object manipulations in cluttered object scenes.

The position is part of a European CHIST-ERA project involving the University of Lincoln (UK), INRIA (France), TU Wien (Austria), and IIT (Italy). The project aims at benchmarking object recognition, manipulation and human-robot interaction for sorting a complex unstructured heap of unknown and irregular objects. The Idiap research institute will focus on pushing or pulling tasks and in combining different interaction strategies (self-learning, learning from demonstration, learning by correction) including the use of deep learning approaches to model multimodal action-perception interactions (proprioception vs visual modalities).

The ideal postdoctoral candidate should hold a MS degree in computer science, engineering, physics or applied mathematics. S/he should have an excellent background in statistics, linear algebra, signal processing, programming, machine learning. The successful applicant will have good analytical skills, written and oral communication skills, and the ability to work and collaborate in a project with international teams. The recruited person will complement and work with a number of other teams members of the two research groups involved in related topics (e.g. in the SNSF funded ROSALIS project).

Research during the Phd or/and prior substantial experience in at least two of the three following domains is imperative, along with the willingness to learn the third one:
– robotics (related to gesture and/or manipulation),
– machine learning,
– computer vision.

Company:

IDIAP

Qualifications:

Research during the Phd or/and prior substantial experience in at least two of the three following domains is imperative, along with the willingness to learn the third one:
– robotics (related to gesture and/or manipulation),
– machine learning,
– computer vision.

More specific expertise, experience or technical skills sought include:
– robot manipulation (gesture learning and synthesis, grasping)
– visual servoing
– active perception
– deep learning
– visual processing
– software: python and/or C++, ROS

Specific requirements:

The position is for one year, with possibilities of being renewed until the end of the project. The Annual gross salary is 80,000 CHF.

The project will start in March 2019, but the position can start earlier or later, depending on the profile.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7b__TO=%27detail%27;__PK=%2710256%27%7d

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About Idiap Research Institute

The Idiap Research Institute is among the most active independent research institutions in information technology.

The Idiap Research Institute, based in Martigny (Valais/Switzerland), is a non-profit foundation that conducts basic research and development in the area of multimedia information management. Idiap's activities can be divided into five complementary research themes and ten application areas.

Idiap was founded in 1991 by the Town of Martigny, the State of Valais, EPFL, the University of Geneva and Swisscom. Since 2008, Idiap has reinforced its connection with Ecole polytechnique fédérale de Lausanne through a joint development plan and a strategic alliance with the "ETH Domain". Several of Idiap's scientists hold an EPFL academic title and are teaching graduate and undergraduate courses. They also supervise students who pursue their doctoral thesis research at Idiap.

Idiap's budget, which amounts to more than 10 million Swiss francs, is 60% financed by research projects awarded following