PhD Candidate: Human Body Shape Models for Vehicle Safety

Karlstad University

Göteborgs kommun

On-site

SEK 362,808 - 434,573

Full time

14 days+
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Benefits offered by this job

Health and parental leave
Dynamic working environment
Support for language learning

Job summary

Chalmers University of Technology is seeking a Doctoral Student to work on statistical shape modelling of the human body for vehicle safety applications. The project aims to develop realistic models that represent diverse body types in crash scenarios, contributing to safer vehicle designs.

Applicants should have a Master's degree in a relevant field, strong communication skills, and experience in programming and statistical modeling. This position comes with full funding, a dynamic working environment in Gothenburg, and supportive benefits.

Qualifications

  • Master’s degree (or equivalent) in Mechanical Engineering or related fields.
  • Strong written and verbal communication skills in English.
  • Experience in mathematical modelling and Python programming.
  • Demonstrated teamwork and collaboration skills.

Responsibilities

  • Collect and process medical imaging and crash data.
  • Develop statistical shape models and morphing framework.
  • Integrate the framework with virtual crash simulation tools.
  • Analyse the impact of anatomical variations on injury risk.
  • Communicate results through publications and presentations.
  • Perform teaching duties up to 20% of working hours.

Skills

Mathematical modelling
Statistics
Python programming
Strong communication

Education

Master’s degree in relevant field

Job description

Chalmers University of Technology is seeking a Doctoral Student to work on statistical shape modelling of the human body for vehicle safety applications. The project aims to develop realistic models that represent diverse body types in crash scenarios, contributing to safer vehicle designs.

Applicants should have a Master's degree in a relevant field, strong communication skills, and experience in programming and statistical modeling. This position comes with full funding, a dynamic working environment in Gothenburg, and supportive benefits.

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