To strengthen our team in the division S.3 "eScience" in Berlin-Steglitz, starting as soon as possible, we are looking for a

Research Assistant (m/f/d) in the field of geoinformatics, geosciences, computer science or a comparable field

Salary group 13 TVöD
Temporary contract until 31.05.2025
Full-time / suitable as part-time employment

The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and analytical sciences.

You will be part of BAM's interdisciplinary research environment and will work with 47 partners from fourteen European countries and Taiwan in the EU Horizon 2020 project "TREEADS – A Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters" ( As part of the EU Green Deal concept, TREEADS develops efficient fire protection and sustainable forest management concepts to react to the consequences of climate change and the associated increasing risk of forest fires. Your task will be the development and implementation of machine learning methods for the prediction and early detection of forest fires, as well as the prediction of fire, heat, and smoke development. To do this, you collect appropriate data from geodatabases, including environmental factors and anthropogenic influences, and ideally also from experiments and simulations. This data will provide the basis for joint development of machine learning methods to develop strategies for fire prevention and firefighting in close cooperation with project partners from research, industry, and decision-makers.
As a member of the S.3 eScience group, you will work in a team of data scientists and benefit from the professional exchange on methods of machine learning, data management and applied statistics. In cooperation with other departments, methods from the field of data science are developed and software solutions implemented in Section S.3. We offer a wide range of possible applications and ideal conditions for creative minds.

We are looking for talented people to join us.

Your responsibilities include:

Your qualifications:

We offer:

Your application:

We welcome applications via the online application form by 06.04.2023. Alternatively, you can also send your application by post, quoting the reference number 63/23-S.3 to:

Bundesanstalt für Materialforschung und ‑prüfung
Referat Z.3 – Personal
Unter den Eichen 87
12205 Berlin

Dr. Benner will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104‑3647 and/or by email to

BAM pursues the goal of professional equality between women and men. We therefore particularly welcome applications from women. In addition, BAM supports the integration of severely disabled persons and therefore especially welcomes their applications. With regard to the fulfilment of the job advertisement requirements, the application documents are examined individually. Recognised severely disabled persons will be given preferential consideration if they are equally suitable.

The advertised position requires a low level of physical aptitude.

BAM actively supports the compatibility of work and family and has been certified as a family- and life-phase-conscious employer by the "audit berufundfamilie" since 2015.