Intern in the Space Training Team, Machine Learning (CAVES & PANGAEA)

Das ist der Job

Behavioural competen

Darum lohnt es sich

EUROPEAN SPACE AGENCY Intern in the Space Training Team, Machine Learning (CAVES & PANGAEA) Job Requisition ID: 19144 Closing Date: 15 December 2024 23:59 CET/CEST Establishment: ESOC, Darmstadt, Germany Directorate: Directorate of Human and Robotic Exploration Publication: External Only Type of Contract: Intern Date Posted: 13 November 2024 Location Cologne Our team and mission This position is based at the European Astronaut Centre (EAC) - Near Cologne, Germany.

The CAVES and PANGAEA team specializes in training programmes that equip astronauts and mission developers with scientific, expeditionary and behavioural skills.

The group’s primary output is focused around two training programmes, CAVES, a course that uses natural cave systems for expeditionary and human behavioural and performance training, and PANGAEA, a course for geological and astrobiological field training.

Complementary to their training goals, these programmes are used as research and development platforms to advance several of ESA’s technological, scientific and operational areas. Field(s) of activity for the internship Topic of the internship: Machine Learning for recognition of planetary materials from multispectral datasets.

You are sought to continue development of machine learning algorithms for recognition of planetary materials from multispectral datasets. This project focuses on combining several mineral characteristics to achieve automatic classification of minerals and rocks.