[robotics-worldwide] [jobs] Idiap/EPFL (Switzerland): PhD and Postdoc positions in robot learning and adaptive control

Sylvain Calinon sylvain.calinon at gmail.com
Tue Sep 26 09:58:29 PDT 2017

Dear Colleagues,

The Robot Learning & Interaction Group at the Idiap Research Institute 
(https://urldefense.proofpoint.com/v2/url?u=http-3A__idiap.ch&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=s8bEsNc1tCDlYGaC1XfXEnZTk4iMVk2IViVaMqfZhxo&s=zLtgYxvFUeGtL4nk8U8Q9TvwNtlW6OACJvhYfl1-cq8&e=) in Switzerland has two open positions within the new 
MEMMO (Memory of Motion) ICT-H2020 European project, in collaboration 
with 9 other partners (LAAS-CNRS, University of Edinburgh, Max Planck 
Institute Tuebingen, University of Oxford, PAL Robotics, Airbus Group, 
Wandercraft, CMPR Pionsat and Costain Group). The project will start in 
early 2018. The PhD Student and Postdoc will work in tight 
collaborations with the other partners in the project.

The ideal PhD candidate should hold a MS degree in computer science, 
engineering, physics or applied mathematics, with a background in linear 
algebra, statistics, optimization, signal processing, control and 
programming. The PhD position is for 4 years, provided successful 
progress, and should lead to a dissertation. The selected candidates 
will become doctoral students at EPFL provided acceptance by the 
Doctoral School at EPFL (https://urldefense.proofpoint.com/v2/url?u=http-3A__phd.epfl.ch_applicants&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=s8bEsNc1tCDlYGaC1XfXEnZTk4iMVk2IViVaMqfZhxo&s=o-kaMbXAgeGxTVGchJ5GCt_XnSrPtasmRsvo8w_gJ1U&e=). Annual gross 
salary ranges from 47,000 CHF (first year) to 50,000 CHF (last year).

The ideal Postdoc candidate should hold a PhD degree in computer 
science, engineering, physics or applied mathematics, with a background 
in linear algebra, statistics, optimization, signal processing, control 
and programming. The Postdoc position is from one to two years. The 
starting date can be discussed. Annual gross salary is 80,000 CHF. Part 
time employment is possible if desired.

Interested candidates should submit a cover letter, a detailed CV, and 
the names of three references (or recommendation letters) through the 
Idiap online recruitment system: 
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.idiap.ch_education-2Dand-2Djobs_job-2D10225&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=s8bEsNc1tCDlYGaC1XfXEnZTk4iMVk2IViVaMqfZhxo&s=Zdkx7_7GKatyiIEDR40wR_hmNX_J1A0AeQI9ekbiWmc&e=. Contact for further 
information: sylvain.calinon at idiap.ch

Interviews will start on *November 6, 2017*. Late applications will be 
treated depending on whether the positions have been filled or not.

About MEMMO:

Based on optimal-control theory, the goal of MEMMO is to develop a 
unified yet tractable approach to motion generation for complex robots 
with arms and legs. The approach relies on three innovative components: 
1) a massive amount of pre-computed optimal motions are generated 
offline and compressed into a "memory of motion"; 2) these trajectories 
are recovered during execution and adapted to new situations with 
real-time model predictive control, with generalization to dynamically 
changing environments; and 3) available sensor modalities (vision, 
inertial, haptic) are exploited for feedback control which goes beyond 
the basic robot state with a focus on robust and adaptive behavior.

MEMMO is organized around 3 applications designed by the end-user 
partners of the project: 1) a humanoid robot performing advanced 
locomotion and industrial tooling tasks for aircraft assembly; 2) an 
advanced exoskeleton paired with a paraplegic patient demonstrating 
dynamic walking on flat floor, slopes and stairs in a rehabilitation 
center; and 3) a quadruped robot performing inspection tasks in a 
construction site.

In MEMMO, Idiap is responsible of the research aspects related to the 
representation and encoding of movements. The objective is to compress 
motion data for fast recognition and adaptive motion synthesis. This 
will be achieved by extracting invariant structures in a probabilistic 
form that can be used to generalize movements to new situations (new 
environments, new contexts, new initial conditions). Models will be 
developed to facilitate integration between learning and control, with 
trajectory distributions (incl. the underlying cost functions) that are 
adapted to the current situation and can be used to quickly generate 
trajectory samples for further optimization.

About Idiap:

Idiap is an independent, not-for-profit, research institute recognized 
and funded by the Swiss Federal Government, the State of Valais, and the 
City of Martigny. Idiap offers competitive salaries and conditions at 
all levels in a young, high-quality, dynamic, and multicultural 
environment. Idiap is an equal opportunity employer and is actively 
involved in the "Advancement of Women in Science" European initiative. 
The Institute seeks to maintain a principle of open competition (on the 
basis of merit) to appoint the best candidate, provides equal 
opportunity for all candidates, and equally encourage both genders to apply.

Idiap is located in the town of Martigny in Valais, a scenic region in 
the south of Switzerland, surrounded by the highest mountains of Europe, 
and offering exceptional quality of life, exciting recreational 
activities, including hiking, climbing and skiing, as well as varied 
cultural activities. It is within close proximity to Lausanne and 
Geneva. Although Idiap is located in the French part of Switzerland, 
English is the official working language. Free French lessons are also 
provided on a complimentary basis.

For frequently asked questions (FAQs) about living in Switzerland, 
please go to https://urldefense.proofpoint.com/v2/url?u=http-3A__www.idiap.ch_en_faq&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=s8bEsNc1tCDlYGaC1XfXEnZTk4iMVk2IViVaMqfZhxo&s=mhyDJHmWf0vK-RSBWPTZBGeg3SByoJt1Z3WJ02YZpeg&e=

Dr Sylvain Calinon,
Idiap Research Institute,
Martigny, Switzerland

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