Postdoctoral Position - Human-Machine Interfaces

JOB DESCRIPTION

Post-doctoral announcement

Background
The Institute of Movement Sciences (Aix-Marseille University & CNRS, France) seeks a motivated Postdoctoral Researcher on the project “SONIMOVE: Inform, guide and learn by sounds” under the supervision of Prof. C. Bourdin and Dr. L. Bringoux.


The SoniMove project focuses on the contribution of calibrated sounds to control functional gestures attached to new Human-Machine Interfaces (HMI) for cars and to expert gestures specific to sport and music. It is based on the natural tendency of our cognitive system to identify the sources that produce the sounds we hear and to precisely identify the dynamic relations (time and space) between sounds and movements. It is founded on a collaboration between three partners: two academic laboratories with expert knowledge in the domains of acoustics (Laboratory of Mechanics and Acoustics, LMA, Marseille) and of movement sciences (Institute of Movement Sciences, ISM, Marseille) and an industrial partner that is strongly involved in innovative research and development (Society Peugeot-Citroën Automobiles, PSA).


The successful candidate will work at the Institute of Movement Sciences (ISM; http://www.ism.univ-amu.fr/) offering an international, productive and interdisciplinary research environment. The part of the project the candidate will be involved in specifically concerns.

Terms of employment
The Postdoctoral position has a duration of 3 years (2 years + 1 renewable year). We offer a competitive salary, excellent research facilities, and conference / travel budget. The starting date is June 1st 2015.

Application procedure
Please submit your online application by using the APPLY button.

Applicants should send their motivation letter, a full CV, a complete list of publications and two references letters supporting their candidature.

DESIRED SKILLS AND EXPERIENCE

Profile
Prerequisites for postdoctoral applicants are a PhD in experimental psychology / human movement sciences. A solid knowledge of experimental research methods in movement analysis including Motion capture / EMG acquisition and processing is requested. Programming and statistical skills (e.g., Matlab, Statistica) are also compulsory. The candidate must be familiar with concepts related to motor control, motor learning and performance, multisensory integration for action, and more generally perceptual-motor behaviors in sports. Fluent english and a substantial record of publications in scientific journals on the topic are also expected. In addition, basic knowledge in specific auditory integration by the CNS, acoustic processing and/or sound synthesis would be appreciated.