Machine Learning Engineer in Safety Research

2 days ago


Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full time

Company Overview:

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  • KTH Royal Institute of Technology is dedicated to innovation and intellectual talent.">
  • Our research and education focus on technology and health.">
  • We strive for gender equality, diversity, and equal conditions.">
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Job Description:

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The PhD student will develop a data-driven machine learning model of the human head with rapid and reliable brain strain prediction.

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This project aims to accelerate virtual testing workflows and generate new knowledge of brain biomechanics.

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Required Skills and Qualifications:

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  • Master's degree in Mechanical Engineering, Biomedical Engineering, Engineering Physics, or equivalent.">
  • Experience with machine learning algorithms and software tools is beneficial.">
  • Excellent analytical and problem-solving skills.">
  • Ability to work independently and as part of a team.">
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Benefits:

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  • Opportunity to contribute to cutting-edge research in safety research.">
  • Collaboration with experienced researchers and academics.">
  • Professional development and growth opportunities.">
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Others:

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Applicants must submit their application through KTH's recruitment system.

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Only those admitted to postgraduate education may be employed as a doctoral student.



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