Athina Tzovara

Professor

University of Bern
Country flagSwitzerland

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Positions (1)

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Athina Tzovara

University Name
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University of Bern

PhD opportunity in Neuroscience at the University of Bern , Switzerland, in the group of Athina Tzovara . The project focuses on EEG and auditory processing in wakefulness and sleep , with an emphasis on how neural representations of auditory information change when consciousness diminishes and under different task demands. The research environment is interdisciplinary and collaborative, bringing together cognitive, clinical, and computational neuroscience at the Center for Experimental Neurology (ZEN) and the Institute of Computer Science. The group studies human brain function using high-density scalp EEG, intracranial EEG/ECoG, and single-unit activity, combined with machine learning and multivariate decoding approaches. Applicants should hold a Master’s degree in neuroscience or a related discipline . Required experience includes EEG recordings and analysis and the ability to program independently in Python or R . Helpful additional experience includes signal processing, statistics, time-frequency analyses, multivariate decoding, EEG experiments, cognitive or auditory neuroscience, and sleep research. The position offers funding and salary according to Swiss National Science Foundation regulations . Applications are reviewed on a continuous basis , and the position can start as soon as possible . To apply, send a single PDF with your CV, a brief statement of research interests, and the contact details of two referees to [email protected] .

Articles (20)

The field of sleep research is both broad and rapidly evolving. It spans from the diagnosis of sleep-related disorders to investigations of how sleep supports memory consolidation. The study of sleep includes a variety of approaches, starting with the sole focus on the visual interpretation of polysomnography characteristics and extending to the emergent use of advanced signal processing tools. Insights gained using artificial intelligence (AI) are rapidly reshaping the understanding of sleep-related disorders, enabling new approaches to basic neuroscientific studies. In this opinion article, we explore the emergent role of AI in sleep research, along two different axes: one clinical and one fundamental. In clinical research, we emphasize the use of AI for automated sleep scoring, diagnosing sleep-wake disorders and assessing measurements from wearable devices. In fundamental research, we highlight the use of AI to better understand the functional role of sleep in consolidating memories. While AI is likely to facilitate new advances in the field of sleep research, we also address challenges, such as bridging the gap between AI innovation and the clinic and mitigating inherent biases in AI models. AI has already contributed to major advances in the field of sleep research, and mindful deployment has the potential to enable further progress in the understanding of the neuropsychological benefits and functions of sleep.

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (14)

Antoine Lutti

Assistant Professor in Neuroimaging

Lausanne University Hospital

SWITZERLAND
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Florence Marcelle Aellen

University of Bern

SWITZERLAND
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Gerd Tinkhauser

-

SWITZERLAND
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Kaspar A. Schindler

University Hospital

SWITZERLAND
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Anna C. Nobre

-

UNITED KINGDOM
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Celeste Kidd

Assistant Professor

University of California, Berkeley

UNITED STATES
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Anelia Dietmann

University Hospital of Bern

SWITZERLAND
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Marzia De Lucia

-

SWITZERLAND
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Michal Bechny

University of Bern

SWITZERLAND
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Francesca D. Faraci

Senior Lecturer, Head of BioSignal Processing Specialization Unit

SUPSI

SWITZERLAND
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Corrado Bernasconi

Co-head Clinical Trial Unit

University of Bern

SWITZERLAND
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Benedikt A Poser

Assistant / Associate Professor

University of Maastricht

NETHERLANDS
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Markus H Schmidt

-

SWITZERLAND
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Dominik R. Bach

-

SWITZERLAND
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