PhD position: machine learning for analysis of scattering data

We are currently looking for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron scattering data. You will be working in an international research group at the Institute of Applied Physics together with experienced scientists. You will contribute to the top scientific experiments, will obtain practical experience, improve your soft skills (presentation, communication, language, etc), learn the strategies of data organization and analysis. Your tasks

• Development of ML-based tools to analyse data from different surface sensitive scattering techniques (X-ray Reflectivity (XRR), Grazing-Incidence Wide-Angle X-ray Scattering (GIWAXS) and others)
• Contribution to the scattering data analysis and support of data/metadata formats developed in the group
• Integration of the developed software into the computational environments and data handling routines
• Presentation of the scientific results on conferences and in publications

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 Where to apply E-mail softmatter@ifap.uni-tuebingen.de

Research Field Physics Education Level Master Degree or equivalent Research Field Chemistry Education Level Master Degree or equivalent Research Field Computer science Education Level Master Degree or equivalent Skills/Qualifications Candidates should have good communication skills and motivation to familiarize themselves with new subject areas. The role requires both independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching activities (e.g., supervising practical courses or tutorials) may also be possible. While knowledge of German is not required, it will be considered a plus. Specific Requirements

• Master’s degree in physics or chemistry, computer science or equivalent
• Interest in Physics and Machine Learning
• Good written and spoken English
• Ability to work both independently and in a team
• Programming skills (Python) and acquaintance with modern machine learning frameworks (PyTorch/JAX) are strong advantages

Languages ENGLISH Level Good

The University seeks to raise the number of women in research and teaching and therefore emphatically calls on qualified women to apply. Disabled candidates will be given preference over other equally qualified applicants. 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. Selection process 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 Additional comments is one of Germany’s Universities of Excellence. It provides top-level research and teaching aimed at finding solutions to future challenges in a globalized society. The University has around 28,000 students and more than 500 years of academic tradition. It is continuously placed among Germany’s best in national and international rankings. Tübingen is one of the classical “university towns” in Germany. It is located next to Stuttgart - the capital of the state Baden-Württemberg. It is well-connected to the neighboring cities and the international Stuttgart airport via train lines and busses. It is known for its vibrant student life, cultural events, historical architecture and beautiful nature. Website for additional job details