Postdoctoral Research Associate
Core
Develop and maintain a real-time closed-loop fMRI neuromodulation platform for precision neurorehabilitation, integrating computational neuroscience, software engineering, and biomedical imaging to restore sensorimotor and cognitive function.
Role type
Postdoctoral Research Associate (AI-guided neuromodulation systems)
Builds
Real-time closed-loop fMRI neuromodulation platform for patients with neurologic injury or neurodegenerative disease
Domain
Biomedical engineering / Neuroengineering / Computational neuroscience
Deliverable
production ML models
Required skills
Real-time systems engineering, Software interface development, Signal processing, Machine learning, Python, MATLAB, C/C++, Linux/Unix, Data visualization, System reliability engineering
Preferred skills
fMRI acquisition/analysis, Brain-computer interfaces, GPU/parallel computing, Network communication, Hardware triggering/instrumentation, Scientific programming, Multithreaded/multiprocessing architectures
Technologies
Python, MATLAB, C/C++, Linux, AFNI, FSL, SPM, Turbo-BrainVoyager, Siemens real-time data export, Kalman filters, Hidden Markov modeling
Responsibilities
Optimize and maintain real-time closed-loop fMRI neuromodulation pipelines; Develop and modify software interfaces for fMRI-based applications; Integrate software with imaging systems and experimental hardware; Implement structured logging and diagnostic approaches for real-time data; Support MRI scanning sessions with human participants; Collaborate with clinicians and engineers to contribute to manuscripts and technical reports.
Seniority
Postdoctoral (Ph.D. level, independent research)