PhD in AI-Driven Finite Element Human Body Modelling and Injury Biomechanics for Traffic Safety KTH Royal Institute of Technology in Sweden

KTH Royal Institute of Technology is advertising a Doctoral student in Neuronics within the School of Engineering Sciences in Chemistry, Biotechnology and Health in Stockholm, Sweden.

The project is titled AI-Driven Finite Element Human Body Modelling and Injury Biomechanics for Improved Traffic Safety. It focuses on developing an AI-driven platform to personalize finite element Human Body Models (HBMs), automatically position them in realistic occupant postures, and support HBM-based vehicle safety assessment. The work also includes systematic reconstruction of real-world accidents from image and video data, plus evidence-based quality criteria for harmonization and robust use across different HBM families using data-driven, PCA-based methods.

Relevant academic areas include mechanics, computational mechanics, biomechanics, finite element modelling, artificial intelligence, machine learning, deep learning, and graph neural networks. Applicants should have strong programming skills such as Python or Matlab.

The position is funded by Vinnova under the FFI (Strategic Vehicle Research and Innovation) programme and is carried out in collaboration with Autoliv. The doctoral student will receive a monthly salary according to KTH’s doctoral student salary agreement.

Eligibility includes a relevant master’s degree or equivalent, with preference for candidates in Mechanical Engineering, Engineering Mechanics, Biomedical Engineering, Engineering Physics, or related fields. English proficiency equivalent to English B/6 is mandatory. The ad also mentions willingness to travel to research and industry partners.

Applications must be submitted through KTH’s recruitment system by 2026-10-01. Required documents include diplomas and grades, proof of language requirements, a CV, and a short application letter explaining research motivation and academic interests.