Postdoctoral Researcher in Machine Learning, Berlin-Steglitz, Germany

Postdoc in Germany

Postdoctoral Researcher in Machine Learning: The Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin-Steglitz is seeking a highly motivated postdoctoral researcher to join our eScience team. This role involves developing and advancing machine learning models for materials science applications, with opportunities to collaborate with leading national and international networks.

Postdoctoral Researcher in Machine Learning for Materials Science (m/f/d)

Designation: Postdoctoral Researcher

Research Area: Machine Learning for Materials Science

Location: Berlin Steglitz Unter den Eichen 87 12205 Berlin


  • Successfully completed university studies (diploma/master’s degree) and a very good doctorate in computer science, technical software development, bioinformatics, mathematics, physics, data engineering, or a comparable field.
  • Very good knowledge of software libraries for data science (e.g., PyTorch, PyTorch-Geometric, Pandas, Scikit-Learn).
  • Very good knowledge of the theory and practice of modern machine learning methods (e.g., invertible neural networks and graph neural networks).
  • Proficiency in at least one programming language (e.g., Python, Rust, Go).
  • Good knowledge of methods for visualizing complex data sets.
  • Experience with version control systems (e.g., Git) is desirable.
  • Experience with statistical methods is desirable.
  • Knowledge of methods for processing and analyzing large amounts of data is desirable.
  • Experience with data from the field of materials science or engineering or natural sciences is desirable.
  • Excellent oral and written language skills in English.
  • Strong communication and interpersonal skills, goal-oriented and structured working style, with a willingness to cooperate and collaborate. Eager to learn and adopt, with strong conceptual, strategic, and innovative thinking skills.

Job Description: As a postdoctoral researcher, you will:

  • Develop and advance your own machine learning projects.
  • Collaborate closely with materials scientists.
  • Develop new machine learning models for applications in materials science.
  • Implement machine learning models using PyTorch and other relevant software libraries.
  • Prepare training data and develop/select suitable features.
  • Visualize and interpret results from predictions.
  • Supervise junior researchers.
  • Communicate research results at scientific conferences and in peer-reviewed journals.

How to Apply: We welcome applications via the online application form by 04.07.2024. Alternatively, you can also send your application by post, quoting the reference number 140/24-VP.1 to:

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

For specific questions, contact Dr. Benner at +49 30 8104-3647 or

Last Date for Apply: 04.07.2024

We offer:

  • Interdisciplinary research at the intersection of politics, industry, and society.
  • Collaboration with leading national and international networks.
  • Access to excellent equipment and infrastructure.
  • Flexible working hours, mobile working, and a strong work-life balance with 30 days of vacation and up to 12 compensatory days off per year.
  • Personal and professional development opportunities.
  • An inclusive atmosphere with a certified family-friendly working culture, regular feedback, and strong support for equality and the integration of severely disabled individuals.

BAM promotes professional equality between women and men and welcomes applications from all backgrounds. Preference will be given to severely disabled persons if equally qualified.



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