We are seeking an enthusiastic postdoctoral researcher with expertise in machine learning (ML) to develop a data-driven optimization model for gas-phase epitaxy.

Postdoctoral Researcher (m/f/d) for machine learning/data mining

The candidate will collaborate closely with industry partners to explore and implement innovative ML methods for process optimization. This position offers the opportunity to work at the intersection of materials science and AI, contributing to sustainable technologies. We welcome applications from motivated researchers with a background in physics, materials science, or related disciplines.

Experimental data from growth, wafer characterization, and processed device performance will be available. The focus is on improving data efficiency by integrating theoretical insights and simulation-based phase diagrams.

Your tasks:

• Develop a data-driven optimization model for gas-phase epitaxy using machine learning methods.
• Analyze and integrate experimental data from growth processes, wafer characterization, and processed device performance.
• Improve data efficiency by incorporating theoretical insights and simulation-based phase diagrams.
• Explore and implement innovative machine learning methods for process optimization in close collaboration with industry partners.

Your profile:

• Doctoral degree in Physics, Materials Science, or a related field.
• Interest in data-driven research and interdisciplinary collaboration.
• Experience with Machine Learning in Material Science and/or expertise in epitaxial growth is a plus
• Motivation to contribute to innovative and sustainable technologies.

What we offer:

• working in an international, inclusive, and highly cooperative environment
• access to excellent computational ressources
• balanced supervision: day-to-day work in a small team, embedded in a multi-disciplinary, multi-skill computational department
• support for career development via training, conferences, networking

The Max-Planck-Institut für Nachhaltige Materialien GmbH is committed to employing more handicapped individuals and especially encourages them to apply. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.

MPI-Susmat - Wissenschaftlicher Bereich

Christoph Freysoldt

Apply online now