Dissemination
4-Year PhD Position: Artificial Intelligence – Brain Rhythms and Cognition Research Group.
The Basque Center on Cognition Brain and Language (BCBL) in San Sebastian (Basque Country, Spain) is looking for a PhD Researcher to join its team.
Required skills:
Carry out research under supervisión
Have the ambition to develop knowledge of research methodologies and discipline
Have demonstrated a good understanding of a field of study
Have demonstrated the ability to produce data under supervision
Be capable of critical analysis, evaluation and synthesis of new and complex ideas
Be able to explain the outcome of research and value thereof to research colleagues
To be eligible for a PhD program at UPV/EHU university, candidates must have completed a minimum of 300 ECTS credits across their bachelor’s and master’s studies (240 ECTS from the bachelor’s degree and 60 ECTS from the master’s)
Desirable skills:
Develops integrated language, communication and environment skills, especially in an international context.
4-Year PhD Position in Speech and Neural Signal Processing.
We are looking for a highly motivated candidate to join brAin2lang research project at the intersection of machine learning, speech processing, and neural signal decoding.
Requirements:
– MSc in AI, Computer Science, Biomedical Engineering, Computational Neuroscience, or related field
– Strong background in machine learning and deep learning
– Solid Python skills (e.g., PyTorch or TensorFlow)
– Interest in speech processing and/or neural signal decoding
– Excellent written and spoken English skills
Experience with speech technologies or EEG/MEG is a plus.
10/03/2026: Talk
brAIn2lang: Decodificando el habla desde el cerebro humano.
10:00 — Ada Lovelace Room, Faculty of Computer Science
Is it possible to extract information about speech from the brain’s neural activity? Addressing this question is key to restoring communication in people who have lost the ability to speak due to motor speech disorders (e.g., ALS, aphasia, or paralysis).
The goal of the brAIn2lang project is to develop models that integrate neuroimaging data (fMRI and MEG) with speech signals. Can these models help us understand how language and speech are encoded in the human brain?
This presentation will provide an introduction to the field, its main opportunities and challenges, and will present in detail some of the work we are currently developing.
The project adopts a multidisciplinary approach that brings together research groups from complementary areas, including speech and language technologies, artificial intelligence, neuroscience, and psychology.
07/03/2026: Talk
From Neural Signals to Fluent Speech: Recent Advances in Neural Speech Interfaces
Hitz Webminar
By Jose Andrés Gonzalez López
05/03/2026: Talk
COLOAN: Avances de la inteligencia artificial aplicada a los trastornos de la comunicación
By Jose Andrés Gonzalez López
Website presentation
This website was presented on February, 26, 2026.
Project kick-off Meeting
On January 19, 2026, members of the research teams from the three subprojects convened to formally initiate activities, take initial decisions, and establish the communication framework.
