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researcher with strong experience in neurophysiological signal processing, data analysis, and cognitive neuroscience to join our team at INAB (Institute of Advanced Neuroscience of Barcelona). The
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analysis in both the Fourier (frequency) domain and the time domain with equal proficiency. Design and implement digital signal processing pipelines for noisy biosignal environments. Develop and refine
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) in engineering, mathematics, neuroscience, cognitive science, computer science or subjects where signal processing may be applied are encouraged to apply. If you are interested in doing this research
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component, notably through the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing
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least master's-level training in biomedical engineering, electrical engineering, signal processing or equivalent training, with a strong foundation in applied mathematics and programming. • Hands-on
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, hardware development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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structure and function. Lead modeling efforts for multimodal brain foundation models. Work with fMRI, structural MRI, diffusion MRI, EEG, and other neural signal modalities. Build scalable training and
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Neurophysiological Signal Processing and Multimodal Data Integration: Develop and implement signal-processing and analysis workflows for EEG and other physiological data, including preprocessing, quality control
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field; Experience with EEG signal processing and study design; Statistical analysis skills for brain analyses; and Strong communication skills and ability to work both within a team and independently
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project are to: (i) simultaneously collect EEG, fNIRS, ECG, BP, and PPG signals in response to cognitive and physical stressors, (ii) develop a combined signal processing and artificial intelligence (AI