PhD Candidate “Map based classification of airborne laser and image data”

PhD Candidate “Map based classification of airborne laser and image data”

Published Deadline Location
12 Jan 9 Feb Enschede

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Job description

The Department of Earth Observation Science (EOS) of the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente in Enschede, the Netherlands, has a full-time vacant position for a PhD Candidate.

Your tasks

Maps are quickly becoming outdated, about 10 % of the objects change annually. This project focuses on methods to automatically interpret newly acquired sensor data to detect and to update the changed objects in the digital map. The sensor data includes high resolution 2D aerial image data and 3D laser scanner data. Our approach is to use the existing (old) digital maps to learn how various objects appear in these 2D and 3D datasets. It is your task to design a deep learning network to semantically segment airborne sensor data, making use of a huge training dataset derived from the fusion of map and sensor data. For (3D) point clouds derived from stereo (2D) images we aim to build a combined 3D and 2D classification approach, to be able to later classify both point clouds and imagery. Alongside this PhD position, one Postdoc will work on the generation of training data, and one other PhD Candidate will work on the delineation of data into map objects.

The specific tasks in this project are:
  • Design of neural networks for image and point cloud classification using massive training data
  • Image and point cloud classification and domain adaptation
  • Change detection between sensor data and map data

Specifications

University of Twente (UT)

Requirements

  • You must hold an MSc degree, obtained no more than five years ago, related to computer vision, or geo-informatics, with excellent expertise in acquisition and processing of geo-information, and programming (Python, Tensorflow or PyTorch).
  • You have excellent study results and experience with the use and further development of deep neural networks.
  • Because of the involvement of various Dutch project partners, it is required that you must be at ease communicating and discussing with these partners (in English). In joint meetings research results must be presented to them and the next steps discussed.

Conditions of employment

We offer you an inspiring multidisciplinary and challenging international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalisation is an important part of the strategic agenda. We offer a position for a period of four years. Salary and conditions will be in accordance with the Collective Labor Agreement (CAO-NU) of the Dutch Universities.
  • A starting salary of € 2,434.- in the first year and a salary of € 3,111.- in the fourth year gross per month;
  • Tailor-made educational/development programme of at least 6 months (30EC), including visits to conferences;
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
  • A solid pension scheme;
  • A total of 41 holiday days in case of full-time employment;
  • Professional and personal development programmes;
  • Costs for moving to Enschede may be reimbursed.

Specifications

  • PhD
  • Natural sciences
  • max. 40 hours per week
  • €2434—€3111 per month
  • Higher professional education
  • 362

Employer

University of Twente (UT)

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Location

Drienerlolaan 5, 7522NB, Enschede

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