We announce the opening of
3 Positions (2 PhD, 1 Postdoc)
Mathematical Methods for Geophysical Potential Field Problems
within the Geomathematics and Geoinformatics Group at TU Bergakademie Freiberg, Germany. Depending on the position, we are looking for mathematicians and/or geophysicists/geoscientists with a strong mathematical background. Also computer scientists with a strong background in mathematics and interest in geosciences are welcome. Each position is for a period of 3 years. The salary varies between a minimum of 50% up to 100% of level TV-L 13 Ost (approx. 23,900EUR to 55,200EUR annually, depending on qualification and position). The positions are available from now on. Application is open until all positions are filled.
For further information and enquiries contact Prof. Dr. Christian Gerhards (e-mail: firstname.lastname@example.org). More information on the Geomathematics Group at TU Bergakademie Freiberg can be found on https://tu-freiberg.de/en/fakult3/gy/mageo. Applications with the usual information (letter of motivation, curriculum vitae) shall also be sent to Prof. Dr. Christian Gerhards.
Environment in Freiberg
TU Bergakademie Freiberg is a small university with a focus on research in the geosciences. The Geomathematics and Geoinformatics Group focuses in particular on the analysis and development of mathematical methods. We equally collaborate with mathematicians and geoscientists and are at the intersection between these two disciplines. With its wide range of groups in geosciences, geophysics, and (applied) mathematics, TU Bergakademie Freiberg forms a perfect environment for this type of interdisciplinary research.
Two of the positions (Positions 2 and 3) are embedded in the joint project “SYSEXPL – Systematic Exploration” together with Interstaatliche Hochschule für Technik Buchs, Switzerland, and CBM GmbH, Germany. The project aims at investigating potential field methods for use in geothermal exploration. The contribution conducted at our group focusses on the analysis, development, and implementation of mathematical methods for the processing of magnetic potential field data.
Position 1 (PhD position, mathematician):
This position deals with the investigation and analysis of inverse magnetization problems and vector field decompositions on the sphere and sphere-like surfaces. The underlying problems are motivated by the geophysical problem of inverting geomagnetic satellite data and local geomagnetic data for its sources, but here we are mainly interested in the mathematical aspects (e.g., transferring existing results for the sphere to non-spherical geometries, studying uniqueness and stability of the inverse problem, analyzing numerical solution schemes and their convergence). Candidates should have a MSc degree (or equivalent) in mathematics or a closely related field. The precise topic of the PhD studies can be adapted to the interests of the candidate.
Position 2 (PhD position, mathematician, geoscientist/geophysicist):
This position deals with the joint investigation of gravitational and magnetic potential field data. The candidate shall develop and investigate methods to characterize the correlation of magnetization and density based on corresponding potential field data. A particular interest lies in multiscale approaches. Candidates should have a MSc degree (or equivalent) in mathematics or geosciences/geophysics with strong background/interest in mathematics. The methods shall be tested with artificial and real data sets. This position is embedded in the SYSEXPL project and collaboration with the project partners is expected.
Position 3 (Postdoc position, mathematician, geoscientist/geophysicist):
This position deals with source separation for magnetic potential field data. The candidate shall develop and implement a method for the extraction of the crustal magnetic field contribution and the combination of global satellite data with local ground data. Candidates should have a PhD degree in mathematics or geosciences/geophysics with strong background/interest in mathematics. Apart from the development of the method, much time will be invested in its implementation and the application to the available data sets. This projected is embedded in the SYSEXPL project and collaboration with the project partners is expected.
Interested candidates shall contact Prof. Dr. Christian Gerhards (e-mail: email@example.com).