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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Student - Controlling motion of virtual Human models with machine learning (m/f/d)

German Aerospace Center (DLR)
Found 1 month ago
Location
Stuttgart, Germany
Duration (Months)
5 Months
Time
Part-time
Work Mode
Not disclosed
Salary
Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • finite element software
  • LS-DYNA
  • machine learning
  • optimization

Soft Skills

  • Problem solving skills
  • ability to work independently
  • Interest in machine learning applications

Job Description

You will work at the intersection of machine learning, biomechanics, and vehicle safety. In this project, you will focus on generating human body model motion, with an emphasis on modeling, control, and movement patterns. You will gain hands-on experience in applying ML methods to engineering and biomechanical problems, contribute to state-of-the-art safety research, and develop a concrete deliverable as the outcome of your thesis. Along the way, you’ll be supported in performing a focused literature review, exploring innovative methods, and tailoring the project direction to your background and interests.

Requirements

  • scientific university studies in the field of mechanical engineering, automotive engineering, biomechanics, computational mechanics, computer science, mathematics, machine learning or similar degree programmes in the natural and engineering sciences
  • Knowledge and experience in using finite element software, preferably LS-DYNA
  • Knowledge of Python or another programming language
  • Problem solving skills and ability to work independently
  • Interest in machine learning applications to engineering and biomechanics
  • Knowledge on biomechanics of the human body is advantageous

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Knowledge on biomechanics of the human body
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