Endowed Professorship \"Neuromorphic Systems\" at the Institute of Physiology (Donor: Manfred-Stärk Fdn. for Brain Research) Assistant Professor Tenure Track

The University of Bern, with the support of the Manfred Stärk Foundation for Brain Research, announces the creation of the Manfred Stärk Professorship for Neuromorphic Systems – a tenure-track Assistant Professor position at the Institute of Physiology, Faculty of Medicine, in Bern, Switzerland.

This position focuses on neuromorphic systems, an interdisciplinary field at the intersection of computational neuroscience, neuroscience, and engineering. Neuromorphic systems aim to develop circuits and hardware that replicate the self-organizing and self-regulating properties of the brain, with applications in medical implants, autonomous robotics, and real-time data processing. The role will strengthen the University of Bern's research in theoretical neuroscience, aligning with contributions to the European Human Brain Project.

• Establish an independent research program in neuromorphic systems, securing external funding and promoting interdisciplinary collaboration
• Collaborate within the Faculty of Medicine (e.g., Institute of Physiology, Center for Experimental Neurology (ZEN), Neuroengineering Technologies Group (NeuroTech), ARTORG Center for Biomedical Engineering Research) and with clinical partners at Inselspital (Bern University Hospital) as well as external institutions
• Advance theoretical models of brain information processing, including neuronal activity, synaptic plasticity, machine learning, and fast, energy-efficient neuromorphic systems
• Develop teaching activities in theoretical neuroscience, integrating theoretical concepts, neurosciences, and brain-inspired hardware
• Foster collaboration with experimental and clinical neuroscience groups, including translational research

• Fluency in English and German (learning window possible)
• Proven track record in teaching and securing funding for interdisciplinary neuroscience research
• Expertise in fields such as physics, neuroscience, applied mathematics, or related areas, ideally balancing engineering and neuroscience
• Strong ability to collaborate across experimental, clinical, and theoretical domains
• Experience with computational tools relevant to neuroscience and digital medicine
• Leadership skills, excellent communication, and ability to manage diverse, interdisciplinary teams
• Commitment to diversity, fostering early-career researchers, and promoting inclusive academic practices

The University of Bern strives to increase the proportion of women in leadership positions and particularly encourages women to apply. Job-sharing applications are welcome. The University offers support for parents and flexible working time models.

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