Advanced Materials Research Scientist

vor 1 Woche


Tübingen, Baden-Württemberg, Deutschland Universität Tübingen - Institut für Angewandte Physik - AG Schreiber Vollzeit

The Schreiber Group at the University of Tübingen's Institute for Applied Physics is a renowned research team focusing on the physics of molecular and biological materials. We utilize cutting-edge techniques like X-ray and neutron scattering, as well as machine learning tools, to drive innovation.

We are currently seeking a highly motivated PhD candidate to join our team in several areas:

  • Developing neural networks and machine learning strategies to analyze scattering data
  • Investigating perovskite thin films for photovoltaic applications, including growth, optical spectroscopy, and X-ray scattering
  • Employing X-ray photon correlation spectroscopy (XPCS) to study protein dynamics
  • Exploring quasi-elastic neutron scattering (QENS) for protein dynamics

As a member of our team, you will contribute to challenging interdisciplinary projects within major national and European research consortia, such as the DAPHNE consortium. Our state-of-the-art laboratories provide an excellent working environment, and you will benefit from affiliation with the Cluster of Excellence "Machine Learning: New Perspectives for Science" funded by the German Research Foundation (DFG). You will have opportunities to perform research at international large-scale facilities, such as synchrotrons and neutron sources.

About the Position

This PhD position offers an exciting opportunity to work at the intersection of experimental physics and machine learning. If you have a strong background in physics, physical chemistry, material science, or a related field, we encourage you to apply. For project 1, which focuses on computational aspects, candidates with a degree in computer science are also welcome to apply.

Key responsibilities include:

  • Designing and implementing machine learning algorithms to analyze scattering data
  • Characterizing perovskite thin films using various techniques
  • Developing and applying XPCS and QENS methods to study protein dynamics

To succeed in this role, you should possess excellent communication skills, attention to detail, and flexibility to work independently and collaboratively. A diploma/master degree in a relevant field is required.

What We Offer

The University of Tübingen boasts a rich academic tradition, with over 28,000 students and a strong reputation worldwide. As a member of our team, you will have access to a variety of training opportunities, language courses, and the university's graduate academy. The salary for this position will be determined according to the German collective wage agreement in public service.

Please submit your application, including a cover letter, curriculum vitae, academic certificates, and names and email addresses of two professional references. Applications can be submitted immediately.



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