PhD Position at Max Planck Institute: The Max Planck Institute for Sustainable Materials (MPI-SusMat) is offering a PhD student position focused on investigating the influence of grain boundaries on thermal transport for functional applications. This innovative research aims to bridge atomic-scale material structures with macroscopic properties, using advanced modeling techniques and machine learning.
Position Details
| Designation | PhD Student Position |
|---|---|
| Research Area | Materials Science, Thermal Transport |
| Location | Max Planck Institute for Sustainable Materials, Germany |
| Eligibility/Qualification | Master’s degree in Physics, Chemistry, Materials Science, Mechanical Engineering, or a related field with good to excellent marks. Computer simulation or programming experience (especially with Python or C++) is advantageous. Proficiency in English is required. |
| Job Description | Investigate heat transport across grain boundaries utilizing molecular dynamics simulations. Develop material models using machine-learning techniques, optimize grain boundary structures, and collaborate with experimentalists and computational experts to understand heat transport dynamics. |
| How to Apply | Interested applicants must submit their application online, including a short motivation letter (½ page), CV, and an official diploma or transcript showing their master’s grades. |
| Last Date to Apply | Applications will be reviewed immediately and will continue until the position is filled. |
For additional information and to apply, please contact:
Dr.-Ing. Tobias Brink
Max Planck Institute for Sustainable Materials
This is an exciting opportunity for anyone interested in pursuing research at the intersection of materials science and machine learning within a collaborative and dynamic research environment.
