News
Postdoctoral Researcher (m/f/d), Faculty of Mathematics, Natural Sciences, and Materials Engineering
department of Physics (Prof. Dr. Nadine Schwierz)
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application deadline:?Mai 15th, 2026
2026 Heinz Maier-Leibnitz Prize for mathematician Dominik Schmid
The University of Augsburg is delighted to announce an outstanding honour for one of its early-career researchers: Assistant Professor Dr Dominik Schmid has been awarded the 2026 Heinz Maier-Leibnitz Prize, regarded as Germany¡¯s most prestigious award for researchers in the early stages of their careers. This was announced by the Executive Board of the German Research Foundation (DFG) in Bonn.
University Professor for Bioorganic Chemistry, Faculty of Mathematics, Natural Sciences and Materials Engineering
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Voltage Switches Antiferromagnetic States on Nanosecond Timescales
Physicists at the University of Augsburg together with collaborators from the Budapest University of Technology and Economics and Rutgers University, USA, have successfully switched an antiferromagnetic state in an insulator by voltage pulses, within just a few tens of billionths of a second. Their findings were recently published in Physical Review Letters.?
CHE ranking: good rating for physics and mathematics master's degree programs
The Faculty of Mathematics, Natural Sciences and Technology at the University of Augsburg can draw a positive balance: Its Master's degree courses in Mathematics and Physics have achieved excellent results in the new CHE University Ranking 2024. This nationwide comparison of degree courses and study conditions was published by the Center for Higher Education Development (CHE) in mid-December.
A Simple Method to Transform Soft Magnets into Hard Magnets
A team of researchers at the University of Augsburg has discovered a groundbreaking method to turn a soft magnet into a hard one using nothing more than moderate uniaxial stress - pressure applied in a single direction. Their findings were recently published in the prestigious journal Physical Review Letters.
Machine learning solves complex quantum problems
Due to a new method, artificial neural networks, as used in machine learning, will be able to be trained quicker so as to be able to solve complex problems in quantum mechanics. For example, previously unexplained properties of a special state of matter, the quantum spin liquid, can be calculated, something that has not been possible with any previous method to date. This has been made possible by a new optimisation method developed by the Institute of Physics.
Praise for Augsburg¡¯s bachelor¡¯s degree programmes by CHE Ranking
How life began: A molecular perspective
Honorary doctorate for Prof. Dieter Vollhardt
Prof. Dieter Vollhardt was awarded an honorary doctorate by the University of Warsaw last week in recognition of his scientific achievements and longstanding collaboration with theoretical physicists at the University of Warsaw.