Research Associate / PhD Student (m/f/x) in Physics, X-ray and neutron scatteringFull PhD

  • English

    Working Language

  • Tübingen


  • 31 Jul 2024

    Application Deadline

  • as soon as possible

    Starting Date


Open Positions


Time Span

as soon as possible for 3 years

Application Deadline

31 Jul 2024



Type of Position

Full PhD

Working Language


Required Degree
  • Master
  • Diplom
Areas of study

Chemistry, Computer Science, Physics



The research group of Prof. Dr. Frank Schreiber at the University of Tübingen (Institute of Applied Physics) deals with the physics of molecular and biological materials using X-ray and neutron scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options for doctoral theses. Candidates interested in one of the following three areas are particularly encouraged to apply:

  • X-ray photon correlation spectroscopy (XPCS) to study the dynamics of proteins and thin films on surfaces
  • X-ray nano-diffraction and perovskite systems
  • Neural networks and machine learning strategies for the analysis of scattering data

Depending on the project, the activities may include the following aspects: 1) participation in measurement campaigns at major international facilities (synchrotron and neutron sources); 2) data analysis of scattering data; 3) systematic, experimental work in the laboratory; 4) further development of models based on neural networks.


Candidates should have good communication skills in English, an interest in detail, and motivation to familiarize themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. For the project with a focus on machine learning / AI, we also welcome applications from candidates with a focus on computational physics.

The applicants should have a Master's degree or equivalent in Physics, Chemistry, or Computer Science.

Applications should be accompanied by a cover letter describing motivation, skills, and any special achievements. Furthermore, a CV and a transcript of records should be added. The positions are to be filled immediately. Please send your application in one PDF file to

Required Documents

Required Documents
  • Motivation letter
  • CV
  • Certificates
  • List of publications
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