Physicist, Mathematician, Materials Scientist or similar (f/m/d)

^{Scientific activities/projects}

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

For our institute Institute for AI Safety and Security in Ulm we are looking for

Physicist, Mathematician, Materials Scientist or similar (f/m/d)

Soft matter theory and AI for complex materials

What to expect:

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 for Material 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

What we expect from you:

• degree in physics, mathematics, materials science, or similar
• initial experience in at least one of the fields of research of the group, for example, statistical physics, soft matter theory, machine learning, stochastic
• geometry, spatial statistics, hyperuniformity, or photonic band gaps
• proficiency in English, both spoken and written
• promising scientific track record desired
• ideally experience in interdisciplinary research
• good analytical and programming skills (preferably in python)

What we offer:

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

Further information:

Starting date: 1.10.2024

Duration of contract: 2 years with the possibility of extension

Type of employment: Part-time

Remuneration: Depending on qualifications and assignment of tasks up to pay grade E13 TVöD.

Vacancy-ID: 97504

Contact: 

Dr. Michael Klatt Institute for AI-Safety and Security 

Tel.: 0731 400198 321

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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