[robotics-worldwide] [jobs] Post-doc: humanoid locomotion/ machine learning [2nd call]

Jean-Baptiste Mouret jean-baptiste.mouret at inria.fr
Thu Sep 15 06:12:08 PDT 2016


Post-doc: humanoid locomotion/ machine learning / optimal control theory
========================================================
Our group is seeking for a highly qualified postdoctoral researcher with
strong interests in humanoid locomotion, machine learning and/or optimal
control theory.

Please relate clearly to at least one or more of these topics in the
Research Statement.

PLEASE APPLY ONLINE
https://urldefense.proofpoint.com/v2/url?u=http-3A__tinyurl.com_icub-2Dinria&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=9rZPBFMT132PCjp2s2J8bPAx_iiD-eHwWc5dJnBpmIo&e= 

ABOUT THE PROJECT
Impressive results have been achieved in humanoid robotics thanks to recent
advances in optimal control and to the increase of computational power. In
particular, we can now optimize whole-body motions in real time.
Nevertheless, the current methods essentially assume that the model of the
robot is fully known.

The objective of this post-doc is to relax this constraint so that we can
generate whole-body motions with uncertain models. A particularly
challenging case of uncertain models will be mechanical damage (e.g. a
broken arm) and long-term changes of the body (e.g., a backpack). To do so,
we will rely on data-efficient learning methods (e.g. Bayesian
optimization) so that the robot can improve its behavior in a few trials.

The main test platform is the iCub humanoid robot (an advanced, child-like
robot ; see https://urldefense.proofpoint.com/v2/url?u=http-3A__www.icub.org&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=J8I1fSMaWOWixcHyKW_45uLS4tWL6j8j4ufgEC4W_nE&e= ). Experiments will take advantage of our
motion capture facilities and will rely our team’s expertise in both
machine learning (Jean-Baptiste Mouret) and humanoid control (Serena Ivaldi
& Karim Bouyarmane).

The selected post-doc will work in interaction with ERC project ResiBots
(funded by the European Research Commission, https://urldefense.proofpoint.com/v2/url?u=http-3A__www.resibots.eu&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=hzYAx4MbIqCT0KIhyvIXbm3dvu5Prn98mmcNguAA1uY&e= ), the
EU FP7 project CODYCO (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.codyco.eu&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=NxU1JhQttvg7NvYdDvv1UNoG113ZmUPBj2DyQz9yZsU&e= ), and the recently accepted
H2020 ANDY. The overall goal of the Resibots project is to develop novel
learning algorithms that make it possible for autonomous robots to quickly
discover compensatory behaviors when they are damaged (e.g. a broken motor)
or when they encounter an unforeseen situation. The CODYCO project is
focused on whole-body control of humanoid robots and adaptation in presence
of multiple contacts; the ANDY project is tackling the challenge of
human-robot collaboration in tasks that involve dynamic and kinematic
constraints of both parties.

Demonstrations: [ResiBots] https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_watch-3Fv-3DT-2Dc17RKh3uE&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=KzLrVKjyywDn92oyykQ4D0Jaq5ICGyAOcYOICSz0b6s&e=  ,
[CoDyCo] https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_watch-3Fv-3D9XRI4BeXN78&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=RBsTMDP68h3GjmyRERrfHdpoQuuLSI_LdHL-MfCfCGM&e= 

See also: https://urldefense.proofpoint.com/v2/url?u=http-3A__members.loria.fr_JBMouret&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=U9MAKWX5Chn86PXV3sFXp84C2nC4N1ZspGZiE4pMIXI&e=  and https://urldefense.proofpoint.com/v2/url?u=http-3A__www.loria.fr_-7Esivaldi_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=GT7_PphehsWg2DAvF1CIX3c6SiD_sxIrwcIap79x8os&e= 

ABOUT THE APPLICANT
A successful post-doc applicant should have a strong robotics and/or
machine learning background with a track record of top-tier research
publications, including relevant conferences (e.g., RSS, ICRA, IROS or
ICML, IJCAI, AAAI) and journals (e.g., AURO, TRo, IJRR, JMLR, MLJ, Neural
Computation). A Ph.D. in robotics or another field clearly related to
robotics and/or machine learning is a must.

Expertise in working with real robot systems is a big plus. A robotics
engineer is dedicated to the project, but good C++ programming skills will
be useful. Strong knowledge of optimal control and/or machine learning are
required, but we will definitely consider applicants who have expertise in
only one of these two fields.

ABOUT THE POSITION
The position is for 18 months (possibly 24). The ``raw salary'' (French
"brut") will start at 2621 euros (2115 euros ``net''), depending on
experience and qualifications. French medical insurance is included.

Speaking French is not required.

ABOUT INRIA NANCY-GRAND-EST
Inria is a French national research institution that focuses on computer
science and applied mathematics. Inria employs about 600 permanent
researchers, 1000 engineers/technicians, 600 Ph.D. students, and 200
post-docs. Inria Nancy - Grand-Est centre is one of the eight research
centre; it is situated near Nancy, a 1-million inhabitants (with a lot of
students) in the East of France (1.5 hours from Paris by fast train).

Inria can provide help for housing and visa applications (scientific
resident card and help for husband/wife).

HOW TO APPLY
Please apply online here:
https://urldefense.proofpoint.com/v2/url?u=http-3A__tinyurl.com_icub-2Dinria&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=9rZPBFMT132PCjp2s2J8bPAx_iiD-eHwWc5dJnBpmIo&e= 
[Applications that are not submitted on the submission website will be
ignored].

Applicants will be asked to provide:
- a research statement / cover letter;
- a detailed CV;
- your top 3 publications;
- 3 references.

Please ensure to include a link to your research web-site as well as your
date of availability. Deadline for applications: 31st of October.

Security and defense procedure : In the interests of protecting its
scientific and technological assets, Inria is a restricted-access
establishment. Consequently, it follows special regulations for welcoming
any person who whishes to work with the institute. The final acceptance of
each candidate thus depends on applying this security and defense procedure.

MORE INFORMATION
- https://urldefense.proofpoint.com/v2/url?u=http-3A__www.resibots.eu&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=hzYAx4MbIqCT0KIhyvIXbm3dvu5Prn98mmcNguAA1uY&e= 
- https://urldefense.proofpoint.com/v2/url?u=http-3A__members.loria.fr_JBMouret&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=U9MAKWX5Chn86PXV3sFXp84C2nC4N1ZspGZiE4pMIXI&e= 
- https://urldefense.proofpoint.com/v2/url?u=http-3A__www.codyco.eu&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=NxU1JhQttvg7NvYdDvv1UNoG113ZmUPBj2DyQz9yZsU&e= 
- https://urldefense.proofpoint.com/v2/url?u=http-3A__www.loria.fr_-7Esivaldi_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=m_KeiDwXKCBb4W15g2_XoPcpkliCVmJV2MLDJxXSyMw&s=GT7_PphehsWg2DAvF1CIX3c6SiD_sxIrwcIap79x8os&e= 


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