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Gernot Müller-Putz

3 months ago

Postdoctoral Researcher in Brain-Computer Interfaces (EEG/ECoG) Graz University of Technology in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Austria

University

Graz University of Technology

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Electrical Engineering
Deep Learning
Eeg
Neuropsychology
Medical Science
Biosignal Processing
Clinical Translation
Brain-computer Interface

About this position

Graz University of Technology (TU Graz) is hiring a Postdoctoral Researcher in Brain-Computer Interfaces with a focus on EEG/ECoG. The position is announced by Professor Gernot Müller-Putz from the Faculty of Computer Science & Biomedical Engineering.

The role is aimed at researchers with strong expertise in biosignal processing and machine learning/deep learning for neural data. The successful candidate will develop and validate state-of-the-art decoding and signal processing algorithms for EEG/ECoG, design experiments, analyze large-scale neural datasets, and build robust, reproducible pipelines.

Work will span engineering, neuroscience, and clinical collaboration, with a goal of translating methods into real-time/closed-loop settings. The postdoc will also contribute to high-impact publications, conference presentations, grant proposals, code maintenance, and mentoring junior researchers.

This is a research-intensive opportunity in an interdisciplinary BCI environment at TU Graz. The post does not mention a deadline in the text provided, so applicants should check the official job page for current application timing and instructions.

Interested candidates should review the official TU Graz job listing and contact Professor Müller-Putz if they have questions.

Funding details

Available

What's required

Deep experience in biosignal processing and machine learning/deep learning for EEG/ECoG is required. The role also expects experience with developing decoding and signal processing algorithms, analyzing large-scale neural datasets, building robust reproducible pipelines, working across engineering, neuroscience, and clinical teams, publishing papers, presenting at conferences, contributing to grant proposals, and maintaining clean well-documented code. Mentoring junior researchers is also part of the role.

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Professors

Professor

University Name
Country flag

Austria

Research Interests

Neuropsychology

Systems Neuroscience

Brain-computer Interface

Biosignal Processing

Eeg