Technische Universität Berlin seeks a Postdoctoral Research Associate for the BMBF project “MALSCO – Machine Learning for SANS from Colloids.” The position focuses on investigating structural changes in colloidal and polymer reactions using machine learning methods applied to small-angle neutron scattering (SANS) data. Responsibilities include improving an experimental reactor setup, conducting reaction studies with systematically varied parameters, and developing machine-learning approaches for advanced scattering data interpretation and product control. Research will be conducted jointly at TU Berlin and the Institut Laue-Langevin (Grenoble, France). Applicants should hold a PhD in scientific computing, physics, chemistry, or related fields with strong machine-learning expertise.