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Technische Universität München
Technische Universität München

Post-Doc: Data integration, model interfaces and knowledge transfer

Advisors (int.)

Prof. Roland Pail, Prof. Hans-Peter Bunge, Prof. Michael Krautblatter

Advisors (ext.)

Prof. Dr. van der Meijde (Univ. Twente)

Description

A key aspect in the proposed RTG is to find a common language between all involved scientific fields, i.e. geodesy, geology, geophysics, mathematics and informatics. In particular, the integrated process model (PC IV) requires the integration of data from various fields into one synthetic model and building the bridge between the different components of the integrative model. Here, essential elements will be data acquisition, data preparation, and first analyses and modelling attempts under the view of the joint UPLIFT research objective.

Moreover, as a second key aspect, since this post-doctoral project combines and unites the results of most of the doctoral projects, it will support significantly the knowledge transfer between doctoral cohorts I and II.

For the Post-Doc, the integrative objective of this project at the interface of the disciplines, but also at the core of the central physical process model, will significantly contribute to his/her further qualification and shaping the personal profile, because the acquired competencies are pre-requisites for a future leading role, such as a professorship or a position in science management. The Post-Doc shall work on his/her habilitation during the RTG period.

Main objectives

  • Integrating geodynamical, geological, geomorphological and geodetic data into a synthetic model.
  • Systematic up- and downscaling of respective datasets and physical parameters.
  • Development of model interfaces to connect the geodynamical model to the geomorphological model and the geodetic model (geodynamic gross uplift – geomorphological rock weathering = geodetic net uplift)
  • Knowledge transfer from cohort I to cohort II

RTG coupling

  • An integrative view over all doctoral projects P1 – P10
  • A close link to the second integrative project P9, uncertainty distribution among all data and model components
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