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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via

Job advertisement PhD Position: Machine Learning for Planetary in-situ Spectroscopic Data

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European Geosciences Union

PhD Position: Machine Learning for Planetary in-situ Spectroscopic Data

PhD Position: Machine Learning for Planetary in-situ Spectroscopic Data

German Aerospace Center (DLR) logo

German Aerospace Center (DLR)


Berlin, Germany


Relevant divisions
Earth and Space Science Informatics (ESSI)
Geochemistry, Mineralogy, Petrology & Volcanology (GMPV)
Geosciences Instrumentation and Data Systems (GI)

Part time

Student / Graduate / Internship


Required education

Application deadline
15 August 2021

13 July 2021

Job description

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.

How to apply

For more information, please visit: There you can also find a lonk for the online application form. We are looking forward to your application!