The Planetary Sciences research group at the Institute of Geological Sciences at the FU Berlin participates in various experiments on space missions of ESA, NASA and JAXA like Europa Clipper, JUICE or Destiny+. Furthermore, we generate analogue data for space missions in our laboratories on campus. We are looking for a (early-carrer) researcher with enthusiasm for space missions, ideally with experience in machine learning and mass spectrometry.

Website: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/index.html

Job description:
-Developing a supervised machine learning (ML) algorithm for the automated analysis mass spectra from space probes. Collaboration with a computer scientist who is specialized in this topic.

Requirements:
Master's degree in Planetary Sciences, Physics, Astronomy, Chemistry, Computer Science or Geology or in a similar field.

Desirable:
- Knowledge in the field of Planetary Sciences and mass spectrometry
- very good written and spoken English (B2/C1)
- Knowledge of mass spectrometry
- Programming skills, especially in the field of machine learning, are an advantage
- Basic knowledge of space probe navigation (software SPICE) is an advantage
 
For further information, please contact Dr. Frank Postberg (frank.postberg@fu-berlin.de / 030/ 838-70508).