PhD Student
Core
Design and perform in vivo electrophysiological recordings, develop computational models of auditory processing, and integrate measurements into a digital-twin framework for optical cochlear implant research.
Role type
PhD student (computational neuroscience & neuroengineering)
Builds
Digital twin of the auditory system, sound-processing algorithms, and optogenetic stimulation strategies
Domain
Neuroscience, biomedical engineering, computational modeling
Deliverable
production ML models
Required skills
in vivo electrophysiology, computational modeling, signal processing, scientific computing, machine learning, MATLAB, Python
Preferred skills
auditory neuroscience, PyTorch, JAX, computational neuroprosthetics
Technologies
MATLAB, Python, PyTorch, JAX
Responsibilities
Design and perform multielectrode in vivo electrophysiological recordings; Develop and validate computational models of auditory information processing; Integrate experimental measurements into a digital-twin framework; Design and optimize sound-processing algorithms; Collaborate with experimental neuroscientists and engineers
Seniority
PhD student, research-focused