The University of Granada invites applications for a 3.5-year fully funded postdoctoral position in the area of Artificial Intelligence and Neuroscience, within the research project “Boosting AI-driven multimodal decoding of Speech and Language from Brain Signals (brAIn2lang)”.

Research Area

AI, Deep Learning, NeuroAI, Speech and Language Processing, EEG/sEEG, Brain–Computer Interfaces.

Position Description

The successful candidate will develop advanced deep learning methods to decode speech and language from brain signals, using non-invasive (EEG) and invasive (sEEG) data. The position is highly interdisciplinary, combining machine learning, neuroscience, and language technologies, and will be carried out at the University of Granada in collaboration with national and international partners.

Main Tasks

• Development of deep learning models for neural decoding of speech and language.

• Analysis and modeling of neural representations from EEG and sEEG data.

• Interdisciplinary collaboration between AI and neuroscience.

• Publication of results in peer-reviewed journals and presentation at international conferences.

• Contribution to scientific dissemination and communication activities.

Candidate Profile

Applicants must hold a PhD in Computer Science, Artificial Intelligence, Computational Neuroscience, Biomedical Engineering, or a related field.

Strong background in deep learning, experience or interest in neuroimaging data, and familiarity with speech or language technologies are highly desirable.

Contract Details

• Duration: 3.5 years (full time)

• Start date: Approximately March 2026

• Gross salary: ~€2,300 per month

• Location: Granada, Spain

• Reference: 1768

Application

Applications must be submitted through the official University of Granada platform.

Deadline: 30 January

Application website: https://investigacion.ugr.es/recursos-humanos/personal/contratos

Contact

For informal inquiries: Jose A. Gonzalez-Lopez joseangl@ugr.es