Help Shape the Future of Stroke Rehabilitation and Brain Stimulation We invite applications to join the Brain Dynamics Lab—an interdisciplinary research team at the interface of dynamical systems theory, brain network modelling, and neurostimulation-based rehabilitation. Our mission is to uncover and exploit the mechanisms of brain plasticity following stroke and neuromodulation, by combining cutting-edge modelling with real-world neurotechnology. We regard recovery not as anatomical repair, but as a problem of restoring network-level brain dynamics through non-invasive electrical stimulation (tDCS/tACS). We model the brain as a dynamical system perturbed by lesion, reconfigurable via stimulation-dependent plasticity. Paid positions according to the academic level Location: Valencia, Spain Chile [Valparaiso, Santiago, Talca, Concepción, flexible within collaborating institutions] Positions Available: • PhD studentships [2 years] • Postdoctoral research fellows • Research assistants (MSc-level support roles) Fields: Physics, Biomedical Engineering, Electronics/Telecom/Control/Informatics Engineering, Applied Mathematics, Computer Science, Computational Neuroscience What You’ll Work On Successful applicants will join a growing team working on projects including: • Whole-brain network modelling (Kuramoto, Wilson-Cowan, neural mass models) to simulate post-stroke disruption and plastic recovery • Computational modelling of plasticity mechanisms (Hebbian, homeostatic, STDP, resonance-tuned) across varying brain states • Control theory in brain networks, including stimulation as control input to re-establish metastability and synchrony • Analysis of electrophysiological and imaging data (EEG, TMS, lesion mapping) from healthy and clinical populations • Development of simulation-guided protocols for individualized, state-dependent stimulation These positions will support Masters or PhD theses, contribute to postdoctoral innovation, and underpin a translational pipeline from virtual lesion modelling in healthy participants to patient-specific neurorehabilitation strategies. We are looking for: We welcome candidates from a broad range of backgrounds, including: • Physicists with expertise in nonlinear dynamics or network theory • Electrical or Telecom Engineers with skills in signal processing, control theory, modelling, or brain–computer interfaces • Biomedical Engineers experienced in neuroimaging, neurorehabilitation, or neural interfaces • Applied Mathematicians or Computer Scientists with interests in simulation, control or computational neuroscience We value curiosity, collaboration, and a commitment to translational science. Programming skills in Python, Matlab or C++ are required. Prior experience with neural modelling (e.g., Kuramoto, neural masses), data analysis (EEG/fMRI), high performance computing (HPC), or brain stimulation (tDCS/tACS/TMS) is a strong plus but not required. Why join us now This is an exciting moment in the field. Advances in connectome-informed modelling, network control theory, and neuromodulation are converging to make precision neurostimulation a clinical reality. As part of our team, you’ll be at the frontier of: • Designing next-generation rehabilitation tools • Validating models with real-world clinical and experimental data • Publishing in top-tier journals (e.g., Network Neuroscience, Neuroimage, PLOS Comp Biol) • Collaborating with international partners in Spain, Portugal, Chile, and the UK How to apply Send academic CV and one page letter of motivation describing your research interests, and fit with the Brain Dynamics Lab to: Chile Alejandro.Weinstein@USM.cl<mailto:Alejandro.Weinstein@USM.cl> Spain Wael.Deredy@ValgrAI.EU<mailto:Wael.Deredy@ValgrAI.EU> Selected group publications https://arxiv.org/abs/2511.14065 https://www.biorxiv.org/content/10.1101/2025.04.30.651283v2.abstract https://www.nature.com/articles/s41598-025-27606-5 https://www.nature.com/articles/s41598-025-14299-z https://ieeexplore.ieee.org/abstract/document/10937758/ https://doi.org/10.1098/rstb.2023.0093 https://link.springer.com/article/10.1007/s11571-024-10093-1