Doktorand inom Neuronik
Core
Developing an AI-driven platform to personalize Finite Element Models (HBM) of the human body and automatically position them in realistic seating for vehicle safety assessment and accident reconstruction.
Role type
PhD researcher (Doctoral candidate) in biomechanics and AI
Builds
AI-driven Human Body Model (HBM) platform for industrial vehicle safety testing
Domain
Automotive safety, biomechanics, computational mechanics
Deliverable
production ML models | research
Required skills
continuum mechanics, Finite Element Method (FEM), programming (Python, Matlab), AI/machine learning (deep learning, graph neural networks)
Preferred skills
none explicitly stated as preferred beyond required
Technologies
Python, Matlab, deep learning, graph neural networks
Responsibilities
Develop AI-driven HBM personalization and positioning algorithms; reconstruct real-world accidents from image/video data; establish evidence-based quality criteria for HBM families; apply PCA-based methods
Seniority
PhD candidate (entry-level research)