The Fritz-Haber-Institut der Max-Planck-Gesellschaft in Berlin is offering a fully funded PhD position as part of the WEAVE collaborative grant "AtomDensityMap." The project focuses on advancing electron microscopy at the atomic scale, specifically through the development of novel electron phase reconstruction techniques using momentum-resolved scanning transmission electron microscopy (4DSTEM). The research will integrate three-dimensional charge distribution data from atomistic simulations with machine-learning-driven modeling to enhance phase reconstruction accuracy and sensitivity.

The successful candidate will work in a highly interdisciplinary and international environment, collaborating closely with Forschungszentrum Jülich, Technische Universität Graz, and Montanuniversität Leoben. The position is based at Fritz-Haber-Institut in Berlin, with regular visits to partner institutions. The PhD project involves developing and testing reconstruction algorithms that co-optimize atomic structures from 4DSTEM data and interatomic potentials, transitioning from synthetic to real-world data, and adapting algorithms accordingly. The role offers opportunities to experiment with new computational approaches, use advanced machine learning tools, and contribute to both algorithm development and experimental validation.

Applicants should have a Master's degree in Chemistry, Physics, Materials Science, or related fields, with strong skills in numerical programming (preferably Python), machine learning, and technical mathematics. Experience in solid-state physics, optics, electrical engineering, or related areas, especially with a focus on numerical or mathematical modeling, is advantageous. The position requires a collaborative spirit, willingness to learn, and excellent English proficiency.

The Max Planck Society values diversity and inclusion, encouraging applications from women and underrepresented minorities. The PhD position is initially limited to three years and includes a competitive salary and benefits. The application deadline is February 27, 2026, and applications must be submitted via the online portal. For more information, contact Dr. Chiara Panosetti or Dr. Dieter Weber.