To strengthen our team in the division “eScience” in Berlin-Steglitz, starting 01.11.2020, we are looking for a

Salary group 13 TVöD
Temporary contract for 36 months 
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.

The digitalization of materials science offers a wide range of possibilities for optimizing manufacturing processes and testing methods. Especially methods of machine learning show great potential, e.g. for the prediction of material properties or the optimization of process parameters. BAM would like to develop a core competence in this area in order to continue to meet the requirements of a future-oriented and sustainable society.
In cooperation with other departments, methods of machine learning are developed and applied in the Section S.3 eScience. BAM offers a wide range of possible applications and ideal conditions for creative minds. Become part of our team of committed employees!

• Processing of experimental data and integration of simulation data as well as development and selection of suitable features
• Evaluation of machine learning methods (ML methods) for the prediction of material properties
• Implementation of ML methods using existing frameworks
• Extension of ML-methods, especially for the consideration of physical constraints
• Visualization and interpretation of results from the predictions based on the ML methods
• Documentation and provision of the developed software for users and other developers
• Communication of research results at scientific conferences and in refereed journals

• Completed scientific university studies in a quantitative field of study (computer science, software development, bioinformatics, mathematics, physics, data engineering or comparable) In the case of foreign educational qualifications, please send us the relevant proof of equivalence with a German qualification. For further information, please refer to the website of the Central Office for Foreign Education (ZAB) at http://www.kmk.org/themen/anerkennung-auslaendischer-abschluesse.html
• Very good knowledge in at least one programming language (e.g. Python, C/C++, Haskell, Prolog, Julia)
• Knowledge of data science with machine learning tools
• Knowledge in visualization and evaluation of high-dimensional, complex data as well as interpretation of results is desirable
• Experience with version control systems is desirable
• Experience in cooperation with experimental research groups is desirable
• Experience in the field of materials science is desirable
• Creativity, ability to work under pressure, flexibility, decision-making ability, personal commitment and social competence
• Team-oriented work style with very good communication skills and a high level of reflection
• Good written and spoken English language skills

• Interdisciplinary research at the interface of politics, economics and society
• Work in national and international networks with universities, research institutes and industrial companies
• Outstanding facilities and infrastructure
• Flexible working hours, mobile working