Integration Of Machine Learning And Combinatorial Optimization Techniques For Solving Computer...

Universities and Institutes of France

France

October 7, 2022

Description

  • Organisation/Company: CNRS
  • Research Field: Computer science Mathematics › Algorithms
  • Researcher Profile: Recognised Researcher (R2)
  • Application Deadline: 07/10/2022 23:59 - Europe/Brussels
  • Location: France › TOULOUSE
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 10/10/2022
  • Contributions to 3D vision state-of-the-art techniques Use of combinatorial optimization solvers Implementation of algorithms in C/C++/Python

    The postdoc recruited on this project will study the existing literature combining Operational Research (OR) and machine learning methods in the field of computer vision, in particular those aiming at applications of detection, localization and reidentification of targets in video streams. In a first step, he/she will pursue the work undertaken in the field of person reidentification, which will allow to consolidate these skills and to quickly valorize first results in conferences of Operational Research and Computer Vision. In a second phase, he/she will address the problem of posture estimation by taking inspiration from the methods already proposed in the literature. Finally, he/she will work on integrating all these techniques in order to propose a complete chain of person detection, re-identification and posture tracking in a multi-camera network. The thesis project will be conducted according to an agile approach aiming at producing more and more successful and realistic context experiments by exploiting the camera network already deployed in the ADREAM building (https: // www. laas.fr/public/fr/le- projet-adream) of the LAAS-CNRS and thus propose an advanced proof of concept of the approach, dedicated to the visitors of the laboratory.

    RAP research team, Robotics department at LAAS-CNRS of Toulouse

    Eligibility criteria

    This offer is specifically dedicated to PhD fellow in Computer Vision with good theoretical background in combinatorial optimization and machine learning. Other skills: - Autonomy, teamwork - Tools for vision and ML: OpenCV, neural network libraries and architectures

    Web site for additional job details

    https: // emploi.cnrs.fr/Offres/CDD/UPR8001-FRELER-003/Default.aspx

    Required Research Experiences
  • RESEARCH FIELD
  • Computer science

  • YEARS OF RESEARCH EXPERIENCE
  • 1 - 4

  • RESEARCH FIELD
  • Mathematics › Algorithms

  • YEARS OF RESEARCH EXPERIENCE
  • 1 - 4

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Computer science: PhD or equivalent

    Mathematics: PhD or equivalent

  • REQUIRED LANGUAGES
  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Laboratoire d'analyse et d'architecture des systèmes
  • Organisation Type: Public Research Institution
  • Website: https:// www. laas.fr
  • Country: France
  • City: TOULOUSE
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