Universidad de Granada
Postdoctoral Position in AI & Neuroscience for Brain-to-Speech Decoding
Universidad de Granada, Villa Espana Colonia, Texas, United States
Organisation/Company Universidad de Granada Research Field Computer science » Other Neurosciences » Neuroinformatics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 28 Jan 2026 - 23:59 (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 invites applications for a
fully funded 3.5-year postdoctoral position
within the research project “Boosting AI-driven multimodal decoding of Speech and Language from Brain Signals (brAIn2lang)” .
Speech is one of the most fundamental human abilities, yet it can be severely compromised by neurological injury or neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). In its most severe forms, speech loss can lead to extreme communication barriers, including locked-in syndrome. Restoring communication in these cases represents one of the grand challenges at the intersection of neuroscience, artificial intelligence, and clinical neurotechnology .
The
brAIn2lang
project addresses this challenge by developing
next-generation neural speech prostheses
capable of translating intended speech and language directly from
brain signals
into
text or synthesized speech . The project operates at the cutting edge of research , combining:
Computational and cognitive neuroscience
Multimodal neuroimaging , including non-invasive EEG and invasive sEEG recordings
Deep learning and generative AI , including large language models and neural representation learning
A central goal of the project is to move beyond proof-of-concept decoding systems and develop robust, generalizable, and interpretable AI models that can operate across subjects, languages, and recording modalities. This requires close integration between neural data acquisition , advanced AI architectures , and theoretical models of speech and language .
The postdoctoral researcher will work on frontier technologies at this interface, contributing methodologically novel solutions with high potential impact in brain–computer interfaces, neuroprosthetics, and AI-driven healthcare technologies .
Main Responsibilities
The
postdoctoral researcher
will contribute to the
design and development of advanced AI algorithms
for decoding speech and language from neural activity. This includes:
Development of novel deep learning architectures for neural decoding
Learning and modeling neural representations of speech and language from EEG and sEEG data
Improving generalization and robustness across participants, tasks, and recording modalities
Close collaboration with experimental neuroscientists and PhD researchers to integrate neuroimaging data, language models, and AI-based decoding frameworks
The position offers a high degree of scientific autonomy and opportunities to lead methodological innovations within an interdisciplinary research team.
Candidate Profile
Applicants must hold a PhD in
Computational Neuroscience, Computer Science, Artificial Intelligence, Biomedical Engineering
, or a closely related field. The ideal candidate will have:
Strong expertise in deep learning and modern neural network architectures (e.g. CNNs, RNNs, Transformers)
Experience with large language models (LLMs) , transformers , and/or generative models
Background or strong interest in speech and language processing
Experience working with neural data , particularly EEG and/or sEEG
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras
Familiarity with neuroimaging and signal processing libraries (e.g. MNE ) is highly desirable
The ability to work independently and collaboratively in an international, interdisciplinary research environment is essential.
Research Environment
The University of Granada is a leading European research institution with strong international visibility. UGR is ranked 101st worldwide and 1st in Spain in Computer Science (Research.com).
Gross annual salary:
approximately
€38,000
Application Procedure
The official application process will be conducted through the University of Granada website and is expected to open in
January 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-Postdoc]
Where to apply E-mail joseangl@ugr.es
Requirements Research Field Computer science » Other Education Level PhD or equivalent
Research Field Neurosciences » Neuroinformatics Education Level PhD 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 invites applications for a
fully funded 3.5-year postdoctoral position
within the research project “Boosting AI-driven multimodal decoding of Speech and Language from Brain Signals (brAIn2lang)” .
Speech is one of the most fundamental human abilities, yet it can be severely compromised by neurological injury or neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). In its most severe forms, speech loss can lead to extreme communication barriers, including locked-in syndrome. Restoring communication in these cases represents one of the grand challenges at the intersection of neuroscience, artificial intelligence, and clinical neurotechnology .
The
brAIn2lang
project addresses this challenge by developing
next-generation neural speech prostheses
capable of translating intended speech and language directly from
brain signals
into
text or synthesized speech . The project operates at the cutting edge of research , combining:
Computational and cognitive neuroscience
Multimodal neuroimaging , including non-invasive EEG and invasive sEEG recordings
Deep learning and generative AI , including large language models and neural representation learning
A central goal of the project is to move beyond proof-of-concept decoding systems and develop robust, generalizable, and interpretable AI models that can operate across subjects, languages, and recording modalities. This requires close integration between neural data acquisition , advanced AI architectures , and theoretical models of speech and language .
The postdoctoral researcher will work on frontier technologies at this interface, contributing methodologically novel solutions with high potential impact in brain–computer interfaces, neuroprosthetics, and AI-driven healthcare technologies .
Main Responsibilities
The
postdoctoral researcher
will contribute to the
design and development of advanced AI algorithms
for decoding speech and language from neural activity. This includes:
Development of novel deep learning architectures for neural decoding
Learning and modeling neural representations of speech and language from EEG and sEEG data
Improving generalization and robustness across participants, tasks, and recording modalities
Close collaboration with experimental neuroscientists and PhD researchers to integrate neuroimaging data, language models, and AI-based decoding frameworks
The position offers a high degree of scientific autonomy and opportunities to lead methodological innovations within an interdisciplinary research team.
Candidate Profile
Applicants must hold a PhD in
Computational Neuroscience, Computer Science, Artificial Intelligence, Biomedical Engineering
, or a closely related field. The ideal candidate will have:
Strong expertise in deep learning and modern neural network architectures (e.g. CNNs, RNNs, Transformers)
Experience with large language models (LLMs) , transformers , and/or generative models
Background or strong interest in speech and language processing
Experience working with neural data , particularly EEG and/or sEEG
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras
Familiarity with neuroimaging and signal processing libraries (e.g. MNE ) is highly desirable
The ability to work independently and collaboratively in an international, interdisciplinary research environment is essential.
Research Environment
The University of Granada is a leading European research institution with strong international visibility. UGR is ranked 101st worldwide and 1st in Spain in Computer Science (Research.com).
Gross annual salary:
approximately
€38,000
Application Procedure
The official application process will be conducted through the University of Granada website and is expected to open in
January 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-Postdoc]
Where to apply E-mail joseangl@ugr.es
Requirements Research Field Computer science » Other Education Level PhD or equivalent
Research Field Neurosciences » Neuroinformatics Education Level PhD 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