Physicist, chemist, mathematician or computer scientist (f/m/x)

Deutsches Zentrum für Luft-und Raumfahrt e.V.; Köln; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A leading German aerospace research center in Köln is seeking a PhD candidate to join their Institute of Frontier Materials. You will work on a project combining materials science with artificial intelligence, focusing on the development and optimization of material properties through machine learning. Ideal applicants will have a strong scientific background and initial research experience. Flexible working conditions offered.

Qualifikationen

• Initial experience in machine learning or related research fields.
• Proficiency in English, both spoken and written.
• Ideally experience in interdisciplinary research.

Aufgaben

• Develop and apply reliable machine learning methods to optimize material properties.
• Discover and utilize novel types of short- and long-range order.
• Publish results in scientific journals; present at international conferences.

Kenntnisse

Machine learning methods

Research publication

Characterization of materials

Ausbildung

PhD in physics, mathematics, materials science

Jobbeschreibung

Overview

DLR's Institute of Frontier Materials in Space investigates fundamental physical processes in materials, from the microscopic scale to macroscopic properties, both in model systems for new materials and in applied materials, on Earth and in space. To this end, we combine the development of space flight hardware, experiments on research rockets, parabolic flights and in the drop tower, as well as modelling with theory and simulation on all scales in order to understand the influence of gravity on physical processes.

What to Expect

In a joint project with the Institute of AI Safety and Security, we have started 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.

Responsibilities

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

Your Profile

• PhD in physics, mathematics, materials science, or similar
• initial experience in at least one of the fields of research of the group, especially machine learning
• proficiency in English, both spoken and written
• ideally experience in interdisciplinary research
• promising scientific track record desired

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 2951) please contact:

Matthias Sperl
Tel.: [phone]