PhD student at ILL: studying Machine Learning for Neutron Reflectometry

The European Synchrotron Radiation Facility (ESRF) in Grenoble, France, offers a PhD position focused on advancing machine learning for neutron reflectometry. ESRF is a world-leading research center, renowned for its cutting-edge X-ray beam technology and multidisciplinary scientific contributions. The successful candidate will join the Large Scale Structures (LSS) group at the Institut Laue-Langevin (ILL), working primarily with the D17 and FIGARO neutron reflectometry instruments to develop and implement automated machine learning workflows for neutron reflectometry analysis. This project aims to generalize existing machine learning models, currently optimized for X-ray reflectometry, to accommodate a broader range of samples and time-of-flight neutron reflectometry. The integration of ML modules into the data acquisition and processing ecosystem will enable real-time data analysis and facilitate closed-loop experiments, where analysis results provide feedback control during ongoing experiments. Sample systems will include polymer thin films and protein layers, providing a diverse testing ground for the developed tools. The PhD student will spend 2–6 months at Tübingen University in Germany, particularly at the project's outset, to adapt existing ML tools to the specific needs of neutron reflectometry. Additional visits to Tübingen University may occur as required. The candidate will be enrolled in the doctoral school at Tübingen University but based full-time at ILL in Grenoble, with at least two months of secondment in Germany. A comprehensive pedagogical training program will be available throughout the three-year PhD project. Applicants should have a degree qualifying for PhD enrolment (such as MSc, Master 2 de Recherche, Laurea, or equivalent) in natural sciences (physics, chemistry, materials sciences, nanotechnology, etc.), with a background in scattering techniques and programming considered advantageous. Proficiency in English at B2 level is required, with proof to be included unless the applicant is from a native-English-speaking country or holds a degree conducted in English. Compliance with the Marie Sklodowska-Curie actions mobility rule is mandatory, and candidates must not already be working towards or in possession of a doctoral degree at the date of recruitment. The position offers a unique opportunity to contribute to the automation of neutron reflectometry analysis and to collaborate with leading scientists in the field. For further information, contact Dr. Philipp Gutfreund ([email protected]) or Prof. Dr. Dr. h.c. Frank Schreiber ([email protected]). Applications should be submitted via the provided link, ensuring all eligibility and mobility requirements are met.