Postdoctoral Position in Neural Data Science

The ARTORG Center at the University of Bern is an interdisciplinary research institute at the interface of medicine, engineering, and data science.
Within the SNF Spark project „Sonifying Tinnitus from EEG Signals“, we aim to develop a deep learning–based pipeline to reconstruct acoustic representations of tinnitus directly from EEG recordings, enabling an objective and quantifiable characterization of phantom auditory perception.

Tasks – Adapt and implement deep learning models and apply them to tinnitus EEG datasets
– Design and conduct controlled EEG experiments
– Analyze reconstructed auditory representations and evaluate feasibility
– Contribute to scientific publications and final project reporting Requirements – PhD in neuroscience, biomedical engineering, computer science, or a related field; or equivalent research experience
– Strong background in machine learning and deep learning
– Experience with EEG data analysis and signal processing
– Proficiency in Python and modern ML frameworks
– Interest in auditory neuroscience and neurophysiological data
– Ability to work independently and collaboratively in an interdisciplinary environment We offer – Opportunity to realise an innovative research project
– Excellent research infrastructure
– A stimulating interdisciplinary environment at the ARTORG Center Application and contact For subject-specific questions and information about the position, please contact: Dr. Philipp Aebischer, 031 684 14 25, philipp.aebischer@unibe.ch.

Please submit your application (CV, letter of motivation) as a single PDF by 31.01.2025 via e-mail to philipp.aebischer@unibe.ch. About the University of Bern
The University of Bern is located in the heart of Switzerland. Internationally connected and regionally anchored, it cultivates exchange with society and strengthens partnerships between science, medicine, business, and politics. The University of Bern is committed to a deliberate and ethical responsibility towards people, as well as animate and inanimate nature. As a key educator, promoting enterprise and industry in the region and beyond, it distinguishes itself through problem-oriented research into pressing social issues. The

University of Bern is an equal opportunity employer, promotes a healthy work-life balance and safe working environments, and strives to increase the number of women at all levels in its faculties.