Postdoc in Neural Decoding and Closed-Loop neuromodulation for Neurodegenerative Disorders

• Develop and implement state-of-the-art neural decoding frameworks for multimodal motor and neural datasets
• Identify and validate clinically relevant neural biomarkers across therapeutic conditions.
• Contribute to the development of closed-loop and adaptive neuromodulation strategies, and to the deployment of next-generation neuromonitoring platforms integrating high-resolution kinematics, neurobiomechanical modeling, and neural decoding for closed-loop therapy delivery.
• Integrate neural decoding with wearable sensing systems for real-world, unconstrained monitoring
• Design and conduct experiments in close collaboration with clinicians and patients.
• Supervise MSc/PhD students and contribute to the coordination of ongoing projects within the team.
• Contribute to high-impact publications and to grant writing, scientific dissemination, and the development of collaborations across EPFL, CHUV, and partner institutions.
• Help coordinate laboratory activities and support the structuring of a collaborative and high-performing research environment.

• You hold a PhD in neurotechnology, neural engineering, computational neuroscience, brain-computer interfaces, or a closely related field.
• You have strong expertise in machine learning for neural data, with demonstrated experience applying modern approaches to electrophysiological signals such as LFP, EEG, or related modalities, including for real-time applications.
• You have experience working with multimodal datasets across timescales, integrating neural activity with behavior (e.g., kinematics, EMG, wearable sensors), and a clear interest in decoding real-world motor states.
• You are proficient in Python (preferred) and/or MATLAB, with experience in modern machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and strong skills in signal processing, data pipelines, and reproducible research practices. Experience with real-time or embedded systems is a plus.
• You have hands-on experience with human electrophysiology (e.g., LFP recordings from implanted devices, EEG), and are comfortable designing and implementing experimental paradigms in clinical populations.
• You bring knowledge of Parkinson's disease pathophysiology and motor control, allowing you to identify relevant neural biomarkers and guide hypothesis-driven analyses.
• You are motivated to bridge controlled experimental settings and unconstrained monitoring, including integration with wearable technologies for ambulatory assessment.
• You are able to work independently, structure complex projects, and troubleshoot across experimental, computational, and clinical domains.
• You have strong interpersonal and communication skills, and are comfortable interacting with patients and their families in a clinical research context.
• You have experience (or strong motivation) to supervise students and coordinate small project teams.
• You are fluent in English. Knowledge of French is desirable for patient interaction and clinical integration.

• A stimulating and international working environment
• Competitive salary and excellent working conditions - more information can be found on our website (
• Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.
• Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students

• Letter of motivation
• CV
• Publication list, highlighting the 3 most relevant articles for the post.
• Contact details for 2 referees.

EPFL