Postdoktor i biomedicinsk teknik med fokus på neuroteknik
Core
Developing computational methods to analyze high-density surface electromyography (HD-sEMG) and related neuromuscular data for neuromuscular diagnostics, prosthetic control, and rehabilitation.
Role type
Postdoctoral researcher in biomedical engineering (neurotechnology)
Builds
Open-source research software and high-performance analysis pipelines for biosignals
Domain
Biomedical engineering / Neurotechnology / Computational Neuroscience
Deliverable
production ML models
Required skills
Computational modeling, signal processing, machine learning, statistical inference, scientific programming (Python), analysis of biosignals (EMG, EEG, MEG, time-series data)
Preferred skills
Experience with GPU-accelerated high-performance computing, Bayesian modeling, optimization
Technologies
Python, GPU-accelerated computing, HD-sEMG systems
Responsibilities
Conduct independent research in neuromuscular signal analysis; Develop and evaluate large-scale data analysis methods; Analyze experimental HD-sEMG data and generate simulated data; Publish research results in international journals; Supervise master's students and PhD candidates; Collaborate on research projects and grant applications
Seniority
Postdoctoral researcher (early-career independent researcher)