PhD Position: Machine Learning for Planetary in-situ Spectroscopic Data
German Aerospace Center (DLR)
Geochemistry, Mineralogy, Petrology & Volcanology (GMPV)
Geosciences Instrumentation and Data Systems (GI)
A newly founded junior research group at the German Aerospace Center (DLR) in Berlin will investigate methods from the field of machine learning for the analysis of spectroscopic in-situ planetary data. Techniques like laser-induced breakdown spectroscopy (LIBS) or Raman spectroscopy have many advantages for the robotic exploration of extraterrestrial bodies and Mars missions such as the recently landed rover Perseverance and its predecessor Curiosity are equipped with such instruments. However, the physics behind these methods is complex and not all tasks can be solved analytically. Therefore, we want to investigate machine learning methods to address the challenging complexity in the data.
The PhD project will include laboratory measurements with highly performant but also compact instrumentation, simulating, for example, Martian atmospheric conditions. The focus will be on the classification and identification of geological samples, thus different types of minerals and rocks. We are looking for a motivated and enthusiastic student with an expertise in data science and a high interest in the Solar System exploration.
For more information, please visit: https://www.dlr.de/dlr/jobs/en/desktopdefault.aspx/tabid-10596/1003_read-46489/ There you can also find a lonk for the online application form. We are looking forward to your application!