We are currently hiring 5 personalities to contribute to our research activities.
At the Helmholtz-Institute Freiberg for Resource Technology, the Division of Exploration aims to develop new and efficient technologies for the exploration of mineral resources. The research focusses on the use of unmanned aerial systems with various sensors, multi- and hyperspectral remote sensing, tectonic geomorphology, 3D geological modeling, as well as laser-induced fluorescence and luminescence spectroscopy.
The Helmholtz Institute Freiberg for Resource Technology invites applications as:
1- PhD Student machine learning and hyperspectral imaging
Your main duties: Contribute to the development of a toolbox for fast and efficient processing of hyperspectral data (exploration and processing of mineral resources) using machine learning.
2- Engineer drillcore scanner, hyperspectral cameras and UAVs
Your main tasks: Operation of our hyperspectral cameras and the drill-core scanner in field and lab – assisting our main pilot in flying the UAVs – data processing (mainly hyperspectral data).
3- Post-Doc hyperspectral processing
Your main tasks: Development of machine learning methods for multi-scale image analysis of geoobjects (satellite to UAV-based imaging, drill core scans, mineral processing etc.)
4- PhD UAV sensor integration (hyperspectral-magnetics)
Your main tasks: Contribute to the integration of diverse sensors (hyperspectral, magnetics, and navigation system) in a UAS platform – EU project MULSEDRO
5- PhD Laser induced fluorescence (LIF-spectroscopy)
Your main tasks:: Contribute to the development of an integrated spectroscopy sensor system for laser-induced fluorescence and hyperspectral imaging – analysis of geological samples – EU project INSPECTOR
Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) by 15 May 2017 only via Online application (http://www.hzdr.de/jobs).
Division Exploration Technology (Head)
Remote Sensing Group (Head)
Helmholtz Intitute Freiberg for Resource Technology