Uni Wien - PhD Position at the Physics of Functional Materials Group

Calculation of magnetic properties using machine learning

Supervisor: Univ. Prof. Dr. Dieter Suess

The PhD project
In this PhD project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g. macroscopic Maxwell equations) using physically informed neural networks or similar approaches. These models will be implemented and verified both computationally and experimentally. The application of the models in industrial settings will involve active exchange and brainstorming of ideas with the team at Silicon Austrian Labs (SAL), and the supervising university.

The PhD position is in cooperation with SAL, which conducts research in the areas of Sensor Systems, Intelligent Wireless Systems, Power Electronics, Embedded Systems, and Microsystems. The position includes planned time at SAL in Villach, Austria, ranging from several weeks to months.

Your skills

  • Master’s degree in physics, mathematics or computer science, AI
  • Experience with machine learning frameworks
  • Very good coding skills
  • Interest in computational magnetism, magnetic sensing and industrial related research
  • Good programming knowledge, willingness to work with Python &; Git
  • Proactive, Can-do attitude; Interested in technical science and open to work independently
  • Excellent written and verbal communication skills in English, German is a plus

Our research group
Our research group is situated at the heart of Vienna, within the Faculty of Physics at the University of Vienna. The physics faculty is ranked 48th worldwide. A key focus of our group is computational micromagnetics, which encompasses everything from the development of numerical algorithms to the application of magnetic simulations in the development of novel magnetic storage and sensing technologies. https://fun.univie.ac.at/

Hard facts
This position is funded for 3 years and is paid with a monthly gross salary of at least 2.684,10 for 30 h/week.

How to apply
Please send your application (Deadline May 31th, 2024) to dieter.suess@univie.ac.at and sabine.vranckx@univie.ac.at.