Geoinformatics or Remote Sensing expert, Data Scientist (f/m/d) or similar with Master's degree

Remote Sensing Solutions, based in Munich, is one of Germany’s leading value-adding companies in Earth Observation. Working at the leading-edge of satellite remote sensing, geoinformatics and artificial intelligence, we help to solve the emerging challenges resulting from global change. We address research and commercial projects equally and work on a multitude of pressing subjects ranging from climate change to forestry, agriculture, conservation and natural hazards.

We are seeking a highly motivated (early career) Satellite Data Analyst to join our dynamic team. The ideal candidate will have a strong background in remote sensing, geospatial analysis, and data interpretation. You will play a crucial role in processing, analyzing, and interpreting satellite data to support national and international research projects, commercial consulting services and the development of data analytic platforms.

You will:

  • Collaborate with an interdisciplinary team to integrate satellite data into various applications and projects.
  • Process and analyze imagery from various satellite instruments using specialized software and tools.
  • Develop algorithms and models to extract information from satellite data for applications in the sectors of clean energy, forestry, nature-based solutions
  • Interpret and visualize geospatial data to support decision-making processes.
  • Stay up-to-date with the latest technological advancements and methodologies.
  • Prepare sophisticated reports and presentations to communicate findings to clients and stakeholders.
  • Represent RSS in national and international forums on technical solutions and provide consultancy services for international development cooperation.

You have:

  • Master degree in Remote Sensing, Geoinformatics, Geospatial Science, Earth Science, Environmental Science, or a related field.
  • In-depth experience in remote sensing and GIS software as well familiarity with various types of satellite sensors and their applications.
  • Programming skills in Python, R, or similar languages for data analysis and modeling.
  • Knowledge of machine learning techniques and their application to remote sensing data are an asset.
  • Good communication skills with the ability to present complex information clearly to non-technical audiences.
  • Ability to work independently as well as part of a collaborative team.

What we offer:

A challenging young and dynamic work environment isn’t all we have to offer. When you join you will:

  • work on intriguing projects on a diversity of topics related to climate and environmental change.
  • have opportunities for professional development and career growth.
  • work with cutting-edge technology in a rapidly evolving field.
  • be part of a collaborative and innovative work environment.
  • have flexible working hours.
  • Be in a vibrant workplace in Munich conveniently located close to all public transportation options.

How to apply:

Please send a motivation letter and CV to with “Satellite Data Analyst” in the subject line. Send us your application, stating your salary expectations and your earliest possible availability. We will accept applications in German or English.

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Are you studying geography, geoinformatics, geodesy or environmental management? Then apply for a study-related or voluntary internship. You will get to know the work processes in our company and have the opportunity to work on current projects here at our office. We recommend a period of three months in order to get to know the complex topic of earth observation and the many software tools in detail. In addition, after a successful internship, we offer the opportunity to complete a bachelor's or master's thesis in our company:

  • Good knowledge and first practical knowledge of remote sensing
  • Basic knowledge of geographic information systems (GIS)
  • Basic proficiency in image processing (Erdas Imagine, ENVI) or open source software

Apply directly fernerkundung_praktikum(at)

Include a motivation letter, a CV as well as an up to date transcript of records in their application. We look forward to you!