As a diverse, open and innovative university, FAU thrives on the passion and respect all of its members put into their work. It offers everybody at FAU scope for personal and career development, creates flexibility and provides support in all stages and situations of life. It creates a climate of openness, recognition and equal opportunity, thus promoting excellence in studying, teaching, research and administration.
Your journey to FAU
Regardless of whether your journey at FAU starts with training, studying, research or any other type of occupation, the University offers help and advice for all stages of your career, pages with information and contacts to assist you.
People at FAU work in administration, teaching or in research, study at one of our five faculties and often keep close ties with the University after they have finished their studies. We have put together information for students, researchers, staff and alumni on the following pages.
Together with researchers from Denmark and France, the team around FAU professor Dr. Benoît Ladoux have discovered a previously unknown winning strategy in mechanical cell competition. They've published their results in Nature Materials.
Tomohisa Toda, Professor of Neural Epigenetics at FAU, is investigating how the physical nature of cell nuclei affects gene regulation and brain function. Now, the scientist is being honored with the Joseph Altman Award in Developmental Neuroscience.
FAU food chemist receives award for excellent university teaching
The Ars Legendi Faculty Award for excellent university teaching in the category of Chemistry goes this year to Dr. Sabrina Gensberger-Reigl from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) The official award ceremony will...
Neurons in the hippocampus control our spatial learning, but are themselves very unstable. Researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Leibniz Institute of Neurobiology (LIN) Magdeburg now want to decode these dynamics.
AI recognizes the mass of the most energetic particles of cosmic radiation
The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithm...
