Job offer

Instituto de Neurociencia Avanzada de Barcelona
Barcelona, Spain
1 day ago
Apply on euraxess.ec.europa.eu
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English

Tech stack

Data Analysis Computer Programming Data Visualization Experimental Data Python (Programming Language) Machine Learning Signal Processing Information Technology Feature Extraction

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on euraxess.ec.europa.eu
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:42 min

Balancing security compliance regulations with rapid AI experimentation

Damandeep Kochhar Damandeep Kochhar +4 · World Congress 2026 Europe

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all