PhD Student in Computational Neuroscience
Join the CRM to advance computational and neural models of human visual and auditory perception.
Best for:Best for candidates with a strong background in computational neuroscience, mathematical modeling, and experimental data analysis.
Overview
The Centre de Recerca Matemàtica (CRM) is seeking a motivated PhD student to join the Computational Neuroscience group in Barcelona. This position is funded by the National Programme for the Promotion of Talent and its Employability in R+D+i (FPI fellowship) and focuses on the project 'Explaining away as a canonical mechanism of human perception.' The successful candidate will work under the supervision of Alexandre Hyafil to develop theoretical models and conduct experimental research. The role involves an interdisciplinary approach, combining computational modeling with behavioral and electrophysiological data analysis.
What you'll do
- Develop computational models of visual and auditory perception.
- Design and implement behavioral, EEG, and intracranial EEG experiments for human participants.
- Collect behavioral and EEG data from human adult participants.
- Perform statistical analysis on behavioral and neural datasets.
- Fit computational models to experimental data.
- Draft research manuscripts for publication.
- Participate in weekly journal clubs and group meetings.
Requirements
Degree required: Master's degree or equivalent in a relevant field.
Degree offered: PhD
Language: English; excellent proficiency required.
Instruction: English
- Strong background in computational modeling.
- Experience with statistical analysis of behavioral or neural data.
- Proficiency in experimental design for human studies.
- Excellent command of the English language.
- Must hold a Master's degree or equivalent.
- Must be eligible for FPI fellowship funding.
Funding & terms
How to apply
Deadline: 2026-10-31 (Europe/Madrid)
Interested candidates should submit their application via email to the provided address. Ensure the subject line references the specific position code.
- CV
- Cover letter
- Academic transcripts
Contact
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