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Job description
We are looking for a postdoctoral 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 position will focus on the processing and analysis of experimental data, as well as the coordination of post-processing activities across research projects. The successful candidate will help define analysis strategies, develop reproducible pipelines, organize tasks, and ensure the quality and consistency of data-analysis workflows.
INAB conducts research in cognitive neuroscience, including perception, consciousness, cognition, and emotions.
Responsibilities
- Coordinate post-processing and data-analysis activities across research projects.
- Define analysis strategies, workflows, priorities, and deliverables.
- Process and analyze neurophysiological, physiological, and behavioral data.
- Develop and maintain reproducible analysis pipelines.
- Perform signal processing, artifact removal, feature extraction, statistical analysis, and data visualization.
- Apply advanced statistical, machine learning and AI methods when appropriate.
- Review analysis outputs and ensure methodological consistency and quality.
- Collaborate with multidisciplinary research teams in the interpretation of results.
- Write and publish scientific articles and present research findings at international conferences.
- Supervise and mentor postgraduate researchers and junior team members.
Requirements
- PhD in Biomedical Engineering, Neuroscience, Psychology, Data Science, Computer Science, or a related field.
- Strong experience in neurophysiological signal processing and quantitative data analysis.
- Strong programming skills in Python, including the development of reproducible data-analysis pipelines.
- Experience coordinating research or data-analysis tasks across projects.
- Strong scientific writing and communication skills.
Experience with one or more of the following will be particularly valued:
- Experience with BESA (EEG) and/or Satori (fNIRS)
- Physiological signals such as EEG, fNIRS, ECG, GSR and other biosignals.
- Multimodal data analysis
- Machine learning and advanced statistical modeling
Research experience in perception, consciousness, cognition, or emotions will also be valued., PhD or equivalent, Experience with one or more of the following will be particularly valued:
- Experience with BESA (EEG) and/or Satori (fNIRS)
- Physiological signals such as EEG, fNIRS, ECG, GSR and other biosignals.
- Multimodal data analysis
- Machine learning and advanced statistical modeling
Research experience in perception, consciousness, cognition, or emotions will also be valued. Specific Requirements
- PhD in Biomedical Engineering, Neuroscience, Psychology, Data Science, Computer Science, or a related field.
- Strong experience in neurophysiological signal processing and quantitative data analysis.
- Strong programming skills in Python, including the development of reproducible data-analysis pipelines.
- Experience coordinating research or data-analysis tasks across projects.
- Strong scientific writing and communication skills.
Languages ENGLISH
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