Nestlé Deep Tech Center
Smart Sensors and Embedded Systems Development Intern(m/w/x)
Full-timeInternshipOn-site
Orbe
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NENestle Operational Services Worldwide SA
Physics Informed Machine Learning Intern(m/w/x)
Orbe
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing physics-informed neural networks for food manufacturing innovation. Master's degree in Applied Math, Physics, or CS required. International, diverse, equitable, and inclusive work environment.
Requirements
- Master’s degree in Applied Mathematics, Physics, or Computer Science
- Foundations in machine learning and numerical methods
- Familiarity with scientific ML concepts
- Experience with Python and ML frameworks
- Reasoning about physical systems and ML formulations
- Curiosity and motivation in AI-for-science
- English (professional working proficiency)
- Master’s degree in Applied Mathematics, Physics, or Computer Science
- Foundations in machine learning and numerical methods
- Familiarity with scientific ML concepts
- Experience with Python and ML frameworks
- Reasoning about physical systems and ML formulations
- Curiosity and motivation in AI-for-science
- English (professional working proficiency)
Tasks
- Support development of physics-informed and hybrid machine learning models
- Work at the interface of machine learning, numerical modeling, and applied physics
- Design and implement physics-informed neural network (PINN) architectures
- Integrate physical constraints and mechanistic priors into machine learning models
- Benchmark scientific ML models against classical numerical and data-driven baselines
- Analyze results and identify model limitations
- Iterate on model design and training strategies
- Contribute to integrating physics-aware AI models into industrial and research use cases
Education
- Currently in higher education
Languages
- English – Business Fluent
- French – Basic
Tools & Technologies
- Python
- PyTorch
- TensorFlow
Benefits
Informal Culture
- International, diverse, equitable and inclusive work environment
Purpose-Driven Work
- Opportunities to have an impact
Learning & Development
- Endless learning opportunities
Other Benefits
- Enriching experiences
Mentorship & Coaching
- Strong mentorship for professional growth
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nestle Operational Services Worldwide SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NENestle Operational Services Worldwide SA
Physics Informed Machine Learning Intern(m/w/x)
Orbe
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing physics-informed neural networks for food manufacturing innovation. Master's degree in Applied Math, Physics, or CS required. International, diverse, equitable, and inclusive work environment.
Requirements
- Master’s degree in Applied Mathematics, Physics, or Computer Science
- Foundations in machine learning and numerical methods
- Familiarity with scientific ML concepts
- Experience with Python and ML frameworks
- Reasoning about physical systems and ML formulations
- Curiosity and motivation in AI-for-science
- English (professional working proficiency)
- Master’s degree in Applied Mathematics, Physics, or Computer Science
- Foundations in machine learning and numerical methods
- Familiarity with scientific ML concepts
- Experience with Python and ML frameworks
- Reasoning about physical systems and ML formulations
- Curiosity and motivation in AI-for-science
- English (professional working proficiency)
Tasks
- Support development of physics-informed and hybrid machine learning models
- Work at the interface of machine learning, numerical modeling, and applied physics
- Design and implement physics-informed neural network (PINN) architectures
- Integrate physical constraints and mechanistic priors into machine learning models
- Benchmark scientific ML models against classical numerical and data-driven baselines
- Analyze results and identify model limitations
- Iterate on model design and training strategies
- Contribute to integrating physics-aware AI models into industrial and research use cases
Education
- Currently in higher education
Languages
- English – Business Fluent
- French – Basic
Tools & Technologies
- Python
- PyTorch
- TensorFlow
Benefits
Informal Culture
- International, diverse, equitable and inclusive work environment
Purpose-Driven Work
- Opportunities to have an impact
Learning & Development
- Endless learning opportunities
Other Benefits
- Enriching experiences
Mentorship & Coaching
- Strong mentorship for professional growth
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nestle Operational Services Worldwide SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nestle Operational Services Worldwide SA
Industry
Food
Description
Das Unternehmen ist ein zertifiziertes B Corp-Unternehmen, das soziale und ökologische Standards erfüllt und Gewinn mit Nachhaltigkeit in Einklang bringt.
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