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NENestlé Deep Tech Center

Physics Informed Machine Learning Intern(m/w/x)

Orbe
Full-timeInternshipOn-site
AI/ML

Designing and implementing Physics Informed Neural Networks for manufacturing AI. Master's degree in STEM with ML and differential equations knowledge required. International, diverse work environment with strong mentorship.

Requirements

  • Master’s degree in Applied Mathematics, Physics, Computer Science, or related field
  • Foundations in machine learning and numerical methods
  • Familiarity with scientific machine learning concepts
  • Experience with Python and ML frameworks in academic or professional environment
  • Ability to reason about physical systems, differential equations, or mechanistic models
  • Curiosity and motivation to follow AI-for-science advances
  • English (professional working proficiency)

Tasks

  • Design and implement PINN architectures
  • Integrate physical constraints into ML models
  • Benchmark scientific ML models
  • Analyze results and identify limitations
  • Iterate model design and training strategies
  • Contribute to integrating physics-aware AI models

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • TensorFlow

Benefits

Informal Culture

  • International, diverse, equitable, inclusive work environment

Purpose-Driven Work

  • Opportunities to have an impact

Learning & Development

  • Endless learning opportunities

Other Benefits

  • Enriching experiences
  • Accessibility of recruitment process
  • Confidential information treatment

Mentorship & Coaching

  • Strong mentorship
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