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24 novembre 2020

Postdoctoral or Research Engineer position in Machine Learning and Computer Vision

Catégorie : Post-doctorant

A 18-month research position is open in Image Processing (Tracking, Pattern Recognition) & Eye Tracking at University of Caen Normandy - GREYC CNRS UMR 6072 , Image team.

To apply, please send by email a single PDF file containing containing a full CV, a motivation letter, personal qualifications and contact details of referees.
For more information about this position, please contact Youssef Chahir (youssef.chahir@unicaen.fr) and Ludovic Seifert (ludovic.seifert@univ-rouen.fr)

Details on the position are given below :



Postdoc position : 18 months Main subject : Image Processing (Tracking, Pattern Recognition, Mapping) & Eye Tracking Place : CNRS UMR 6072 GREYC- Image team (https://www.greyc.fr) University of Caen Normandy at Caen, France CETAPS (http://cetaps.univ-rouen.fr) Faculty of Sport Sciences, University of Rouen Normandy, France, Starting : as early as possible (from January 2021) Salary : 2264 €/month net of charge (indice 600). Criteria of eligibility : to have a PhD or a certificate of school of engineer Context of the project : The DynACEV – Eye Tracking project is co-funded by the French National Agency of Research (ANR) and the Regional Council of Normandy. It combines knowledge and methodologies in the human movement sciences, computer sciences and applied mathematics. The primary aim is to investigate visual-motor skill acquisition in climbing task during a learning protocol where various performance contexts are tested: constant practice, variable practice where the rate of novelty is imposed by the experimenter and variable practice where the rate of novelty is chosen by the participant. During this protocol, we particularly focus on studying how vision guides action by tracking and mapping the visual fixation, the hip trajectory and the hands and feet location into the climbing wall plan. Description of the work : The objective of the present work is to track the spatiotemporal coordinates of the point of gaze of a climber and to analyse the scan path of his/her visual intake during ascension on an artificial climbing wall. The task is composed by the following sub-tasks:

PS : a previous work has been completed and will be provided to the applicant to facilitate the understanding of the project. The data are already collected and correspond to :

No real-time needed, processing can be done offline.

Key words : Eye Tracker, Point of gaze spatiotemporal tracking, Mapping, Pattern Recognition

The candidate is requested to have a PhD in Image and/or Signal processing.
An important knowledge of programming languages such as Python or C or Matlab is primordial.

The work will be done in Caen and supervised by Youssef Chahir from the university of Caen Normandy and Ludovic Seifert from the University of Rouen Normandy.

For further information please contact :

  1. Youssef Chahir, GREYC, Univ. of Caen Normandy, France: youssef.chahir@unicaen.fr
  2. Ludovic Seifert
, CETAPS, Univ. of Rouen Normandy, France: ludovic.seifert@univ-rouen.fr

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