Doktorand inom akustisk källkarakterisering
Core
Developing robust methods to identify and characterize acoustic sources in electric vehicles, focusing on electric motors, cooling fans, and power electronics.
Role type
PhD researcher (Acoustic Source Characterization)
Builds
Equivalent source models, inverse acoustics for partially coherent source fields, optimal microphone array placement, and physics-informed/data-driven machine learning methods.
Domain
Automotive engineering, acoustics, signal processing, machine learning
Deliverable
production ML models | research
Required skills
Advanced level knowledge in technical mechanics, technical physics, electrical engineering, vehicle technology, acoustics, or signal processing
Preferred skills
Acoustics, vibrations, structural dynamics, signal processing, inverse methods, microphone arrays, machine learning, physics-informed machine learning, scientific programming (Python, MATLAB, TensorFlow/PyTorch, COMSOL, Actran)
Responsibilities
Develop methods for acoustic source characterization of components in electric vehicles; collaborate with Volvo Technology AB; work within the Ljud och vibrationer research environment.
Seniority
PhD Candidate (Researcher)