Funded Joint Postdoctora Candidate Position at the Neurobiology of Language Group, BCBL and...

The Basque Center on Cognition Brain and Language – BCBL- and the Basque Center for Applied Mathematics – BCAM- are offering one 2-year funded Postdoctoral opportunity (renewable for 2 additional years based on performance).

The position is linked to the development of novel methods for the analysis of multimodal data (such as structural and functional MRI, magnetoencephalography, clinical, and behavioral information). The researcher will be expected to have close interactions with the local neuroscience team to bridge the gap between artificial intelligence methods, neuroimaging and neuroscience, since these methods will be applied to clinical topics of interests in cognitive neuroscience.

The successful candidate will work with several PIs from the BCBL (Drs. Manuel Carreiras and Dr. Ileana Quiñones) and from the BCAM (Prof. Usue Mori). The candidate will be involve in a research project aimed at investigating to what extent the human brain connectome could be used to identify biomarkers of postsurgical cognitive recovery using presurgical neuro-anatomical and functional information in patients with diffuse low-grade glioma. The selected candidate will participate in several studies that combine clinical parameters, behavioral and neuroimaging data. We are looking for a talented researcher with experience in machine learning or data science. His/her work will be focused (though not exclusively) on the development of algorithms for the analysis of multimodal data (such as structural, and functional MRI, magnetoencephalography, and behavioral data), for instance targeting the exploration of relationships between them, the prediction of clinical outcome and therapeutic response.

The candidate will have the opportunity to be involved in a translational research project where clinical research groups, neuroimaging and basic research collaborate. In addition, the selected candidate will have access to cutting edge research facilities, including MEG, EEG, fMRI, eye-tracking and psychophysics laboratories. The search for neuroimaging biomarkers is an emerging research topic that will constitute a precision medicine tool in neurology and neurosurgery in the near future. Knowledge gained from this project will be relevant for other clinical populations (e.g., stroke or epilepsy patients, among others), and, hence, can be transferred to other domains in the future. Computational models and tools developed in this project might give rise to technological products with extensive impact on clinical, neurosurgical and physiotherapy services. This would be an opportunity to develop new trans-sectoral networks for the exchange and sharing of knowledge. This would be crucial to foster future collaborations, targeted exploitation of results, and better employability.