Endowed Professorship "Neuromorphic Systems" at the Institute of Physiology (Donor: Manfred-Stärk Fdn. for Brain Research)
Assistant Professor Tenure Track at Unibe (Bern, Switzerland) | Careerkit Jobs
Publié il y a 4 jours
Unibe·Education·Bern, Berne
Endowed Professorship "Neuromorphic Systems" at the Institute of Physiology (Donor: Manfred-Stärk Fdn. for Brain Research)
Assistant Professor Tenure Track
01Aufgaben The successful candidate will be responsible for establishing an independent research program in neuromorphic systems, with the goal of securing external funding and promoting interdisciplinary collaboration.
02This includes collaboration within the Faculty of Medicine – such as with the Institute of Physiology, the Center for Experimental Neurology (ZEN), the Neuroengineering Technologies Group (NeuroTech), and the ARTORG Center for Biomedical Engineering Research – as well as with clinical partners at the Inselspital (Bern University Hospital) and with institutions outside the University.
03The candidate will work to advance theoretical models of brain information processing, focusing on areas including neuronal activity, synaptic plasticity, machine learning, and the development of fast, energy-efficient neuromorphic systems.
04The candidate will also play a central role in developing teaching activities in theoretical neuroscience, with a focus on integrating theoretical concepts, neurosciences, and brain-inspired hardware such as neuromorphic devices.
05The role also involves fostering strong collaboration with experimental and clinical neuroscience groups, including translational research that bridges these domains.
Exigences
↳Anforderungen The ideal candidate will be fluent in English and German (learning window possible) and will have a proven track record in teaching, along with the ability to secure funding for interdisciplinary neuroscience research.
↳The candidate should have expertise in fields such as physics, neuroscience, applied mathematics, or related areas, ideally balancing engineering and neuroscience.
↳A strong ability to collaborate across experimental, clinical, and theoretical domains is essential, as well as experience with computational tools relevant to neuroscience and digital medicine.
↳Leadership skills, excellent communication, and the ability to manage diverse, interdisciplinary teams are highly valued.
↳Additionally, the candidate should demonstrate a commitment to diversity, fostering early-career researchers, and promoting inclusive academic practices.
Avantages
＋The University of Bern strives to increase the proportion of women in leadership positions. Women are therefore particularly encouraged to apply.
＋Also, the University of Bern welcomes job-sharing applications.
＋The University of Bern offers support for parents and flexible working time models.
