Intern - Intelligent Topology Optimization For Next Generation Bioprocess Design

Sartorius

Freiburg, Germany
Base: $30 an hr; bonus/equity: not specified; bene...
Not specified
Multiphysics simulation
Computational fluid dynamics (cfd)
Topology optimization
Sartorius is seeking an intern for a six-month position focused on intelligent topology optimization in bioprocess design, involving computational modeling and simulation. The role requires collaboration with various engineering teams to enhance the design of bioprocessing technologies

Job Summary

  • Contribute to the development of next-generation bioprocessing technologies by integrating computational modeling, advanced simulation, and data-driven optimization approaches.
  • Apply multiphysics simulation, CFD, and algorithmic/ML-driven topology and geometry optimization to accelerate the design of innovative systems such as bioreactors and microfluidic devices.
  • Sartorius offers a wide range of benefits including personal and professional development, comprehensive onboarding, and a welcoming, international collaborative culture.

Matching Summary

Match Score: 85

Sartorius is seeking an intern for a six-month position focused on intelligent topology optimization in bioprocess design, involving computational modeling and simulation. The role requires collaboration with various engineering teams to enhance the design of bioprocessing technologies.

Salary

Base: $30 an hr; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • multiphysics simulation
  • computational fluid dynamics (CFD)
  • topology optimization
  • geometry optimization
  • machine learning-driven algorithms
  • Python, MATLAB, C++ scripting

Nice-to-have

  • strong analytical and mathematical skills
  • intellectual curiosity
  • results-oriented mindset
  • documentation and version-control systems (Git)

Key Requirements

  • M.S. or Ph.D. in related technical discipline
  • Experience with multiphysics modeling tools
  • Familiarity with machine learning methods
  • Ability to collaborate with diverse engineering teams

Work Rights

Not specified

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