ORGANISATION/COMPANYMINES ParisTech - Centre for Robotics
RESEARCH FIELDEngineering › Computer engineeringEngineering › Electrical engineeringMathematics › Applied mathematics
RESEARCHER PROFILERecognised Researcher (R2)Established Researcher (R3)
APPLICATION DEADLINE31/12/2018 05:00 - Europe/Brussels
LOCATIONFrance › Paris
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
OFFER STARTING DATE01/01/2019
EU RESEARCH FRAMEWORK PROGRAMMEH2020
The Centre for Robotics of MINES ParisTech is involved in several research projects on human motion pattern recognition applied to the Factory of the Future, the Creative and Cultural Industries and the Autonomous Vehicles. The main objective of these projects is the development of novel methodologies and technological paradigms that improve the perception of the machine and allows for natural body interactions in human-machine partnerships.
In the framework of various H2020 projects MINES ParisTech opens a Post Doc position on Time Series Data (Human Motion) Analysis. During professional tasks, operators in manufacturing but also craftsmen in handicraft execute different gestures and take various postures. Through years of experience they acquire high level expertise and precise motor skills. The preservation and transmission of those skills become more and more crucial to industries that struggles with the traditional “video recording”. Beside the expert gestures that require a real hand intelligence there are also repetitive and ergonomically difficult, even dangerous tasks causing injuries, such as Musculo-Skeletal Disorders (MSD). Motion capture technologies such as wearables (accelerometers, magnetometers etc.), Electromyographs (EMGs) or computer vision (RGB-D cameras) give us the possibility to record motion data time-series and to a) preserve this gestural know-how and b) better understand it and being able to detect potentially “dangerous” postures/gestures. Then we can monitor and analyse the biomechanical parameters of these gestures and transform them into valuable information about the overall gestural performance. After the motion data acquisition, the Post-doc will propose a methodology for an analysis of these data based statistical and pattern recognition methods. Wearable sensing, such as electromyography for muscle sensing and force sensing, will be used for measuring muscles activation and force application when a task is performed. Furthermore, quantitative evaluation of the muscular load that is associated to risks of MSDs will be done. Correlations between ergonomic peaks with important muscular load and motion parameters such as the motor task, time pressure, level of risk, emotional state and demographics will be explored. The Post-doc will contribute to the conception and development of a prototype movement analytics platform that provides functionalities to ergonomists and production directors for understanding the motion performance of the workers and detecting dangerous postures that might be related to risks for injuries. Such analysis and monitoring aim at the ergonomics improvement and injury prevention in the workplace through quantitative assessment of occupational exposure in normal work activities.
The Postdoctoral researcher will actively contribute to specific research and innovation tasks of H2020 projects as they have been described in the Description of Work of the project. The team of the Centre for Robotics is expecting from the candidate to extend their existing knowledge or to bring new scientific and technical skills in deep/machine learning for time series analysis and/or in high-level feature extraction by correlating medium-level features from different sensors, thus extracting new knowledge about human movement. Active assistance in the teaching duties of the Post-Master’s Degree AIMove is also expected. Moreover, the Postdoctoral researcher will jointly supervise PhD students, research engineers and interns.
This position gives the possibility to the candidate to work with other European researchers both in the project and in the wider academic community, as well as opportunities to work directly with industrial partners. Moreover, the candidate will acquire transferable skills that will enhance future employability through leading and contributing to highly interactive and collaborative work. Finally, the candidate will be autonomous and concentrated on his/her work and will contribute to the project and team management tasks, such as preparation of the project meetings (distance calls or physical meetings in different European countries – 3 per year), reports and deliverables.
The Postdoctoral researcher will have a 12-month contract, extendable to 18 months. The gross monthly salary will depend on the profile/experience of the candidate. Complementary activities to research, such as teaching or providing reports and deliverables, etc., are included into the salary.
Completed eight years of studies and have received a PhD.
REQUIRED EDUCATION LEVELMathematics: PhD or equivalentEngineering: PhD or equivalentComputer science: PhD or equivalent
REQUIRED LANGUAGESENGLISH: Excellent
We are looking for a motivated and talented researcher how has completed eight years of studies and has received a PhD in one of the following domains:
- Machine Learning - Deep Learning - Data Science
- Pattern Recognition
- any relevant domain
Moreover, the Postdoctoral researcher must be proficient in both written and spoken English and possess excellent presentation and communication skills which will be needed for regular interactions with the project partners (e.g. researchers, engineers, creative and cultural industries, expert workers or craftsmen, etc..). Good knowledge of French would be appreciated. Furthermore, any type of experience in EU collaborative projects would be useful.
The Postdoctoral researcher should have excellent skills on:
- Machine Learning
- Signal Processing/Data Analysis
- Programming : C++, Python, R.
EURAXESS offer ID: 355903
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.