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Germany · Verified University · Reviewed 2026-10-15

University of Erlangen-Nuremberg

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is one of Germany's largest and most innovative research universities, internationally renowned for materials science, artificial intelligence, medical engineering, and the Erlangen Center for Astroparticle Physics.

Official university portal ↗Source-reviewed directory

Key institutional facts

Institution
University of Erlangen-Nuremberg (FAU Erlangen-Nuremberg)
Location
Erlangen & Nuremberg, Bavaria, Germany
Established
1743
Student Population
39,000+ students
International Proportion
15%
Faculty
580+ Full Professors & Clinicians (German Excellence University Candidate)

Academic overview & research priorities

Founded in 1743 in northern Bavaria across Erlangen and Nuremberg, FAU comprises five major faculties: Faculty of Engineering, Faculty of Sciences, Faculty of Medicine, Faculty of Humanities & Theology, and the School of Business, Economics & Society. FAU is anchored in the 'Medical Valley' high-tech innovation cluster, operating deep research alignments with Siemens Healthineers, Fraunhofer (IIS, birthplace of MP3), and Max Planck.

Research admissions & international criteria

Bachelor's admission requires the German Allgemeine Hochschulreife, Fachhochschulreife, or international equivalent validated via uni-assist. Master's programs require an accredited bachelor's degree in a congruent STEM, medical, or humanities field with minimum German grade 2.5. English-taught programs require IELTS 6.5-7.0 or TOEFL iBT 90+; German programs require DSH-2 or TestDaF 4x4. PhD candidates apply directly to faculty research chairs.

Academic degrees & funding opportunities (8)

Department faculty & researchers (5)

Prof. Dr. Andreas Maier

Professor of Computer Science and Head of the Pattern Recognition Lab · Department of Computer Science - Pattern Recognition Lab (CS5)

Prof. Dr. Maier directs the famous Pattern Recognition Lab at FAU, leading breakthrough research in neural CT reconstruction and integrating physical domain knowledge into deep learning architectures.

Deep Learning in Medical Imaging CT Reconstruction Algorithms Physics-Informed Neural Networks Speech Signal Processing
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Prof. Dr. Gisela Anton

Professor of Experimental Physics and Senior Fellow at ECAP · Erlangen Center for Astroparticle Physics (ECAP) & Department of Physics

Prof. Dr. Anton, recipient of the Gottfried Wilhelm Leibniz Prize, pioneered underwater acoustic neutrino detection and med-tech photon-counting detectors in collaboration with Siemens.

Acoustic Neutrino Detection X-Ray Phase-Contrast Imaging Photon-Counting Detectors Dark Matter Searches
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Prof. Dr. Aldo R. Boccaccini

Professor of Materials Science (Biomaterials) and Head of the Institute of Biomaterials · Department of Materials Science and Engineering

Prof. Dr. Boccaccini is a world authority on bioactive glasses and polymers for bone tissue regeneration, holding numerous international patents and chairing the German Society for Biomaterials.

Bioactive Glasses Tissue Engineering Scaffolds Electrophoretic Deposition Drug-Eluting Nanocomposites
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Prof. Dr. Björn Eskofier

Professor of Digital Health and Machine Learning in Medicine · Department of Artificial Intelligence in Biomedical Engineering (AIBE)

Prof. Dr. Eskofier heads the Machine Learning and Data Analytics Lab, developing inertial sensor algorithms and wearable edge-AI diagnostics for neurological and orthopedic rehabilitation.

Wearable Sensor Computing Parkinson Gait Diagnostics Digital Biomarkers Ubiquitous Healthcare
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Prof. Dr. Veronika Grimm

Professor of Economic Theory and Member of the German Council of Economic Experts · School of Business, Economics and Society (WiSo Nuremberg)

Prof. Dr. Grimm is one of Germany's most prominent economists (Wirtschaftsweise), advising the federal government on energy transition mechanisms, electricity market redesign, and green hydrogen infrastructure.

Energy Market Design Hydrogen Economy Economics Game Theory Behavioral Economics
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Editorial review and verification

University profile compiled from official University of Erlangen-Nuremberg academic bulletins and institutional directories reviewed on 2026-10-15. OpenField is an independent research guide.