professor profile picture

Dieter Weber

Group leader Software and Data at Fritz-Haber-Institut der Max-Planck-Gesellschaft

Fritz-Haber-Institut der Max-Planck-Gesellschaft

Country flag

Germany

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Mathematics

10%

Chemistry

10%

Solid State Physics

10%

Transmission Electron Microscopy

10%

Physics

10%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions1

Publisher
source

Dieter Weber

University Name
.

Fritz-Haber-Institut der Max-Planck-Gesellschaft

PhD Position in Electron Microscopy, Materials Science, Chemistry, or Physics at Fritz-Haber-Institut

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.

2 weeks ago