Universidad de Granada
PhD Studentship: Explainable AI for Brain-to-Speech and Brain-to-Text Decoding
Universidad de Granada, Villa Espana Colonia, Texas, United States
Organisation/Company Universidad de Granada Research Field Computer science » Other Neurosciences » Neuroinformatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 15 Feb 2026 - 12:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time 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
Offer Description The University of Granada (UGR, Spain) invites applications for a
fully funded 3.5-year PhD position
within the international research project “Boosting AI-driven multimodal decoding of Speech and Language from Brain Signals (brAIn2lang)”.
Neurological injuries and neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) can severely impair speech and communication. The brAIn2lang project aims to address this challenge by developing neural speech prostheses capable of decoding intended speech directly from brain activity, enabling more natural and efficient communication through brain–computer interfaces (BCIs).
The project combines artificial intelligence, speech and language technologies, and neuroscience, using both non-invasive (EEG) and invasive (sEEG) brain recordings. A core objective is to develop self-supervised and deep learning models that can generalize across participants and recording modalities, while ensuring transparency and trust through explainable AI techniques.
Main Research Tasks
The PhD candidate will focus on:
Development of explainable and interpretable AI models for brain-to-text and brain-to-speech decoding
Design of interpretability tools and evaluation protocols for neural decoding systems
Integration of neural, semantic, and linguistic embeddings into large language models (LLMs) and text-to-speech (TTS) systems
Contribution to model generalization and interpretability-driven assessment
The candidate will work in close collaboration with a complementary PhD researcher (SP2-PhD2) specializing in language neuroscience and multimodal neuroimaging (EEG, EEG–fMRI, sEEG), enabling strong integration between experimental neuroscience and interpretable AI models.
Candidate Profile
Applicants should have a strong background in Computer Science, Artificial Intelligence, Data Science, or related quantitative disciplines, with solid skills in deep learning, machine learning, mathematics, and statistics. Experience with Python and modern ML frameworks (e.g. PyTorch, TensorFlow) is required. An interest in explainable AI, neuroscience, brain–computer interfaces, or neural data analysis is essential. Prior experience with EEG/sEEG or speech technologies is advantageous but not mandatory.
Research Environment
The University of Granada is a leading European research institution and is ranked 101st worldwide and 1st in Spain in Computer Science. CITIC-UGR is a multidisciplinary research center with over 250 researchers in AI, data science, and signal processing, offering excellent infrastructure and international collaborations. CIMCYC is a María de Maeztu Unit of Excellence and an internationally recognized center in cognitive neuroscience.
Contract and Funding
Duration:
3.5 years (full-time)
Gross annual salary:
€32,445
Application Procedure
The official application call is expected to open in
February 2026 .
Interested candidates are strongly encouraged to
contact Dr. José A. González
(joseangl@ugr.es) in advance, attaching their
CV
and a brief description of their background and research interests to discuss suitability for the position prior to submitting a formal application. Please include the following in the email subject line: [NeurSpeechXAI-PhD1].
Where to apply E-mail joseangl@ugr.es
Requirements Research Field Computer science » Other Education Level Master Degree or equivalent
Languages ENGLISH Level Excellent
Additional Information Work Location(s) Number of offers available 1 Company/Institute ETS de Ingenierías Informática y de Telecomunicación Country Spain Geofield
#J-18808-Ljbffr
Offer Description The University of Granada (UGR, Spain) invites applications for a
fully funded 3.5-year PhD position
within the international research project “Boosting AI-driven multimodal decoding of Speech and Language from Brain Signals (brAIn2lang)”.
Neurological injuries and neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) can severely impair speech and communication. The brAIn2lang project aims to address this challenge by developing neural speech prostheses capable of decoding intended speech directly from brain activity, enabling more natural and efficient communication through brain–computer interfaces (BCIs).
The project combines artificial intelligence, speech and language technologies, and neuroscience, using both non-invasive (EEG) and invasive (sEEG) brain recordings. A core objective is to develop self-supervised and deep learning models that can generalize across participants and recording modalities, while ensuring transparency and trust through explainable AI techniques.
Main Research Tasks
The PhD candidate will focus on:
Development of explainable and interpretable AI models for brain-to-text and brain-to-speech decoding
Design of interpretability tools and evaluation protocols for neural decoding systems
Integration of neural, semantic, and linguistic embeddings into large language models (LLMs) and text-to-speech (TTS) systems
Contribution to model generalization and interpretability-driven assessment
The candidate will work in close collaboration with a complementary PhD researcher (SP2-PhD2) specializing in language neuroscience and multimodal neuroimaging (EEG, EEG–fMRI, sEEG), enabling strong integration between experimental neuroscience and interpretable AI models.
Candidate Profile
Applicants should have a strong background in Computer Science, Artificial Intelligence, Data Science, or related quantitative disciplines, with solid skills in deep learning, machine learning, mathematics, and statistics. Experience with Python and modern ML frameworks (e.g. PyTorch, TensorFlow) is required. An interest in explainable AI, neuroscience, brain–computer interfaces, or neural data analysis is essential. Prior experience with EEG/sEEG or speech technologies is advantageous but not mandatory.
Research Environment
The University of Granada is a leading European research institution and is ranked 101st worldwide and 1st in Spain in Computer Science. CITIC-UGR is a multidisciplinary research center with over 250 researchers in AI, data science, and signal processing, offering excellent infrastructure and international collaborations. CIMCYC is a María de Maeztu Unit of Excellence and an internationally recognized center in cognitive neuroscience.
Contract and Funding
Duration:
3.5 years (full-time)
Gross annual salary:
€32,445
Application Procedure
The official application call is expected to open in
February 2026 .
Interested candidates are strongly encouraged to
contact Dr. José A. González
(joseangl@ugr.es) in advance, attaching their
CV
and a brief description of their background and research interests to discuss suitability for the position prior to submitting a formal application. Please include the following in the email subject line: [NeurSpeechXAI-PhD1].
Where to apply E-mail joseangl@ugr.es
Requirements Research Field Computer science » Other Education Level Master Degree or equivalent
Languages ENGLISH Level Excellent
Additional Information Work Location(s) Number of offers available 1 Company/Institute ETS de Ingenierías Informática y de Telecomunicación Country Spain Geofield
#J-18808-Ljbffr