Postdoktor inom akustikbaserad trafikmätning
Core
Develop next-generation acoustic-based traffic monitoring systems using microphones, signal processing, and machine learning to provide real-time traffic flow, vehicle type, and noise information for urban environments.
Role type
Postdoctoral researcher (acoustic traffic monitoring)
Builds
Acoustic sensor networks and validated measurement systems for road edges in the Stockholm region.
Domain
Urban mobility, acoustics, machine learning, embedded systems
Deliverable
production ML models
Required skills
Doctoral degree, acoustic measurements, signal processing, machine learning, sensor systems, embedded systems, Python programming, scientific publishing, student mentoring
Preferred skills
Acoustic-based traffic surveillance, vehicle detection/classification from sound, field deployment of sensors, ML for audio/time-series data on edge devices, data pipelines/APIs/visualization, collaboration with non-academic entities
Technologies
Python, edge computing, cloud computing, APIs, visualization tools
Responsibilities
Deploy acoustic sensor units in urban environments, develop robust methods for vehicle detection and classification from edge to cloud, validate results against reference measurements, make data available via APIs and visualization tools, publish scientific research, mentor students
Seniority
Postdoctoral (early career researcher)
