Postdoctoral Fellow - Population Neuroscience Group; Computational AI & Multimodal Modeling

Organisation/Company Barcelona Beta Brain Research Center Department Population Neuroscience Group Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country Spain Final date to receive applications 24 Jan 2026 - 22:21 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 24 Dec 2025 Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

BBRC is looking for a Postdoctoral Fellow. This is a full-time position, and the selected candidate will join the Population Neuroscience Group. This Group, co-directed by Drs. Paus and Pausova, works on genetic and environmental factors shaping the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a combination of approaches applied to large datasets, including neuroimaging (multi-modal MRI), multi-omics (e.g., genomics and metabolomics), and geospatial mapping of area-level environment.

To facilitate the neurobiological interpretation of MRI-based metrics, we employ virtual histology (spatial correlation between gene expression and cortical phenotypes). To validate findings obtained in cohort studies, we use ex vivo (e.g., brain organoids) and in vivo (e.g., mice) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both Barcelona, Spain and Montreal, Canada – with a dedicated team of students and fellows at both locations, and opportunities for reciprocal visits between the two sites.

• Develop and implement AI-based models for analyzing high-dimensional biological and imaging data.
• Contribute to ongoing projects, such as:
  • AI-based modeling of cortical circuit structure and function from single-cell transcriptomic data.
  • AI-based super-resolution of low-field MR images in developing brains.
  • AI-based modeling of social and environmental factors using geospatial and satellite image data.
• Integrate multimodal datasets (transcriptomics, imaging, behavioral, and environmental) for predictive modeling.
• Collaborate with neuroscientists, biostatisticians, and clinical researchers within BBRC and external partners.
• Contribute to manuscript preparation, presentations, and dissemination of research outcomes.
• Supervise or mentor junior researchers and students when appropriate.

• PhD in engineering, computer science, bioinformatics, applied mathematics, neuroscience, or a related field.
• Proven experience in machine learning, deep learning, generative AI and data mining.
• Strong programming skills (e.g., Python, R, MATLAB, or similar).
• Experience with data visualization and model interpretability.

• Self-initiative. Capacity to work independently and communicate efficiently.
• Strong problem-solving mindset.
• Strong interpersonal skills and ability to work effectively with a multidisciplinary team.
• Good organization and time management skills.
• Ability to think independently and work collaboratively (empathic and focused team-worker).
• Goal-oriented and work ethic driven.
• Strong interest in biological and neuroscientific applications of AI.
• Interest in joining a non-profit organization with a mission of high social impact.

• Contract:
  
  Temporary position for 1 year, with the possibility of renewal for up to 3 years.
• Full-time position, 38 hours/week.
• Salary will depend on experience and will be in accordance with BBRC’s salary scales.
• The Foundation offers an extended vacation period and the possibility of benefit from flexible working hours.

We offer a unique research opportunity in a highly innovative project in a multidisciplinary institution, promoting a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation, or gender identity.

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