IT Support Technician
Role details
Job location
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Job description
The researcher will join the project "EEG correlates of unusual bodily sensations and out-of-body experiences across the wake-sleep cycle " at the Center for Brain and Cognition, https://www.upf.edu/web/cbc, Pompeu Fabra University: The project is led by Gustavo Deco, director of the Computational Neuroscience lab, https://www.upf.edu/web/cns. The aim of the project is to Quantify the degree of irreversibility in high-density EEG brain signals associated with unusual bodily sensations, including out-of-body experiences, by comparing them to periods of eyes-closed wakefulness and the baseline brain states in which these sensations occur (e.g., meditation or sleep). The project is funded by the BIAL FOUNDATION 2024 - 81/24. Main research field: Neuroscience Tasks to be performed:
- Literature Review.
- Data Analysis.
- Figure Preparation.
- Paper writing. Group and complement: Group 1 + Level o Dedication and working hours: Full time (35h/week). Planned remuneration approx: 39.749,56 € gross per year Financing fund: Project PRINT00325 - FUNDACIÓ BIAL 2024 - 81/24 DECO, "EEG correlates of unusual bodily sensations and out-of-body experiences across the wake-sleep cycle", financed by BIAL FOUNDATION, projecte that ends on 29/05/2026.
Requirements
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Bachelor degree. The expected start date is May 5th 2025, the job is in Barcelona. Selection criteria: The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows: 1- Academic Training (0-20 points).
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Undergraduate degree in Biological sciences or similar.
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Master in Neuroscience or similar. 2- Other professional training and experience, adequacy to the proposed profile (0-60 points):
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Experience in a Cognitive Neuroscience Lab.
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Experience in whole-brain modeling. 3- Other merits (0-20 points):
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Good knowledge of MATLAB.
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High level of English. The minimum score to pass the selection process is 70 points. The candidate with the highest score in the selection process will be offered the job.