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Webseite Institut für Geodäsie und Geoinformation (IGG), Rheinische Friedrich-Wilhelms-Universität Bonn (RFWU)

The newly funded Research Unit Deformation analysis based on terrestrial laser scanner measurements (TLS-Defo) is aiming at making substantial contributions to use TLS for deformation analyses. This is achieved through coordinated research work on several topics, which are depicted in individual projects, each contributing to the overall goal. Thus, we are looking for several


at different universities. You will work at the cutting edge of research regarding the use of TLS for deformation analysis and will be part of an international team including young as well as experienced researchers.

The specific topics of the PhD-projects are:

  • Surface Representation and Area-wise Deformation Analysis
    PIs: Hans Neuner, Technical University Vienna and Corinna Harmening, Karlsruhe Institute of Technology
  • Calibration of Laser Scanner
    PI: Heiner Kuhlmann, University of Bonn
  • Measurement Uncertainty
    PI: Christoph Holst, Technical University Munich
  • Surface Approximation Uncertainty
    PI: Ingo Neumann, Leibniz University Hannover
  • Distribution-Free Uncertainty
    PI: Steffen Schön, Leibniz University Hannover

Further relevant information:

  • Place of work: according to the PhD project
  • Each position is granted for 4 years
  • Salary: according to the individual regulations of each university, in general comparable to E13 German salary scale
  • Project start: fall 2023 with some flexibility

Pre-requisite is a Master´s-Degree in Geodesy and Geoinformation, Photogrammetry, Computer Science, Remote Sensing, Mathematics or any other related field.

All involved universities are committed to diversity and equal opportunities. Our goal is to increase the portion of women and to particularly promote their careers. We therefore strongly encourage applications from relevantly qualified women.

If you are interested in the position, please send your CV, certificates, and a cover letter indicating your motivation and your preferences regarding the five topics to (a single PDF-file, max. 8 MB). The application deadline is June, 4, 2023.

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