Applications are invited for two 3-year postdocs in neuroscience at the University of Bern, Switzerland. Our group is investigating the neural mechanisms that support processing of auditory information and how these are altered during sleep. We are particularly interested in how intrinsic neural timescales and neural oscillations support auditory and predictive processing in the human brain, and how those are reorganized from wakefulness to sleep. To answer these questions, we have open positions for two postdoctoral researchers, one with an experimental and one with a computational focus, motivated to contribute to our line of research.
The selected candidate with experimental focus will have the possibility to design new electroencephalography (EEG) experiments, record, and analyse scalp and/or intracranial EEG data to study links between neural timescales and auditory processing in the awake and sleeping brain. The selected candidate with computational background will have the chance to analyse rich intracranial EEG recordings from patients with epilepsy undergoing pre-surgical monitoring to study the organization of neural oscillations and connectivity patterns in sleep and wakefulness along the auditory network.
The selected candidates will be integrated in the collaborative and international research environment of the Center for Experimental Neurology (ZEN) and will be supervised by Prof. Athina Tzovara.
Applications will be accepted until July 31st. The positions can start on September 1st or upon agreement. To apply please send one pdf document including your CV, publication list, a brief statement of research interests and the contact details of two referees to Athina Tzovara: athina.tzovara@unibe.ch. Please also indicate which of the two positions you are interested in. Informal inquiries are welcome.
Applications are invited for a PhD student in neuroscience. The Center for Experimental Neurology (ZEN) is a unique translational research center in the Department of Neurology at the Inselspital University Hospital Bern, in Switzerland. The ZEN fosters strong collaborations between clinical and experimental laboratories with long-standing expertise in sleep research.
To further strengthen our group, we are looking for a motivated PhD candidate to investigate novel sleep biomarkers and new insomnia drugs with the use of artificial intelligence (AI). The selected candidate will have the chance to analyse large amounts of electrophysiological data (EEG, calcium imaging) with signal processing techniques and novel AI algorithms.
Applications will be accepted until July 31st or until the position is filled. To apply please send one pdf document including your CV, a brief statement of research interests and the contact details of two referees to Athina Tzovara: athina.tzovara@unibe.ch. Informal inquiries are welcome.
The human brain is characterized by rich neural dynamics, which are the result of coordinated electrical neural activity. Stimuli from our environment, like sounds, trigger strong reactions in distributed brain regions. In our recent work, we are studying how the human brain processes sounds from the environment via rich recordings of neural activity in patients with epilepsy.
Computational techniques are increasingly employed to analyze the large amounts of data that are generated from invasive recordings of neural activity of the human brain. In this project, we will employ machine learning and simulation techniques to analyse neural signals, with the goal of better understanding how our brains react to sounds. These signals come with incredible temporal and spatial resolution and are thus ideal to study brain processes at the micro- and mesoscopic levels.
The project is suitable for a Master thesis project. The student working on it should be motivated to program indepentently in Python for analyzing rich datasets. This project will give experience with machine learning, signal processing, neuroscience and working with human data. No prior experience with neural signals analysis is required.
For more information please contact:
Riccardo Cusinato: riccardo.cusinato@unibe.ch
Athina Tzovara: athina.tzovara@unibe.ch