INTERNSHIP: SIMULIA Lifesciences Strategy Image Segmentation

3DS Dassault SystemsJohnston, RI
45dHybrid

About The Position

As an intern on the SIMULIA Strategy & Industry Portfolio Management Team, you will contribute to research and documentation focused on image segmentation techniques used to convert medical imaging data into usable 3D geometries for applications in the Life Sciences & Healthcare (LS&H) industry. This role requires familiarity with commercial finite element analysis (FEA) software, and ideally, a background or interest in the LS&H domain. Experience with image segmentation tools, statistical shape analysis, and related workflows is highly desirable. You will develop customer-facing best practice documentation for image segmentation workflows, supporting common structural and fluid simulation use cases in the Life Sciences & Healthcare (LS&H) industry.

Requirements

  • MS or PhD in Mechanical Engineering, Biomedical Engineering, or a related field
  • Academic or industry experience using image segmentation tools to convert medical images into 3D models for clinical analysis workflows
  • Strong analytical and problem-solving skills, with effective communication and teamwork abilities
  • Familiarity with commercial finite element analysis (FEA) software
  • Background or interest in the LS&H domain

Nice To Haves

  • Hands-on experience with image segmentation tools (open-source or commercial)
  • Experience with structural and/or fluid simulations, preferably using Abaqus FEA
  • Expertise in Machine Learning, Deep Learning, and Optimization.

Responsibilities

  • Contribute to research and documentation focused on image segmentation techniques
  • Convert medical imaging data into usable 3D geometries
  • Develop customer-facing best practice documentation for image segmentation workflows
  • Support common structural and fluid simulation use cases in the Life Sciences & Healthcare (LS&H) industry

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What This Job Offers

Career Level

Intern

Industry

Professional, Scientific, and Technical Services

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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