PostDocPosition in machine learning and computer vision

Inria Sophia Antipolis – Méditerranée center, France
Deadline: March 31, 2020
Must obtain Security Clearance

The main goal of the PostDoc is to develop efficient, robust and scalable methods for extracting geometric shapes from the last generation of satellite images (at 0.3m resolution). Besides satellite images, input data will also include classification maps that identify the location of buildings and DSMs that bring rough pixel-based estimation of the urban object elevation. The geometric shapes will be first restricted to planes that typically describes well the piecewise planar geometry of buildings. The goal will be then to detect and identify each roof section of façade component of a building by a plane in the 3D space.

Requirements Include:

  • Relevant Phd
  • Expertise in machine learning algorithms
  • Expertise in using high-resolution Optical Remote Sensing imagery
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