The group deals with the physics of molecular and biological materials using X-ray and neutron scattering. The main research areas are materials for photovoltaics (such as organic semiconductors (OSC) and organic-inorganic halide perovskites), complex nano-structured materials (inorganic nanoparticles in organic matrix), and proteins in solutions and at interfaces. For more information, visit our web page: https://www.soft-matter.uni-tuebingen.de/
We are currently looking for a PhD student to join our team and help us make exciting new advances in X-ray scattering techniques! You will have an opportunity to work on a variety of systems, including OSCs, perovskites, and biomolecules, as well as explore the cutting-edge field of neural networks and machine learning (ML) strategies for analyzing scattering data.
Your tasks
Depending on the selected track (sample preparation and characterization, X-ray scattering data analysis or development of ML-assisted data analysis approaches) or their combination, your tasks will include the following aspects.
Independent of the project, you will also have an opportunity to:
Requirements
The university seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The university is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information. The employment will be handled by the central administration of the University of Tübingen.
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 position is to be filled immediately. Please send your application in one PDF file to softmatter @ifap.uni-tuebingen.de
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