91488: Physicist, Mathematician, Material Scienctist or similar (f/m/x) - Soft matter theory and AI for complex materials

Area of research:

Scientific / postdoctoral posts,Sonstiges,Promotion

Part-Time Suitability:

The position is suitable for part-time employment.

Job description:

The Institute for AI Safety and Security provides research and development services in the field of AI-related methods, processes, algorithms and execution environments. The focus is on ensuring safety and security for AI-based solutions in ambitious application classes. “Safety and security by design” is a central aspect in this context, since it directly supports future requirements of safety-critical applications that are based on AI or integrate AI-based components.

Main Research Areas of the Institute for AI Safety and Security are:

• Development processes and methods for safety-critical AI applications
• Robust and reliable approaches to safeguard AI methods and algorithms
• Safety and security in the context of AI-based applications
• Management and use of sensitive data
• Execution environments for AI-based applications
• Innovative computation methods.

In a joint project with the Institute of Materials Physics in Space, we are setting up the Helmholtz Young Investigator Group DataMat, where we combine soft matter theory with artificial intelligence.

We want to design materials thought impossible before – by turning fundamental insights about new states of matter into real-world applications. We specifically aim for multifunctional microstructures with the help of reliable machine learning methods. To achieve this aim, we closely collaborate with the LMU Munich and Princeton University.

Now, we are looking for you to join us. You will have the opportunity to work together with leading scientists in an emerging field of research. The DLR provides flexible working conditions and a strong research infrastructure for such an interdisciplinary project, and there will be an option for a stay abroad at Princeton University.

Your tasks will be to:

• discover, characterize, and utilize novel types of short- and long-range order
• develop reliable machine learning methods to predict and optimize material properties
• publish your results in scientific journals and present them at international conferences.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.