Dein persönlicher KI-Karriere-Agent
Physics Informed Machine Learning Intern(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- TensorFlow
Benefits
Lockere Unternehmenskultur
- International, diverse, equitable and inclusive work environment
Sinnstiftende Arbeit
- Opportunities to have an impact
Weiterbildungsangebote
- Endless learning opportunities
Sonstige Vorteile
- Enriching experiences
Mentoring & Coaching
- Strong mentorship for professional growth
Physics Informed Machine Learning Intern(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- TensorFlow
Benefits
Lockere Unternehmenskultur
- International, diverse, equitable and inclusive work environment
Sinnstiftende Arbeit
- Opportunities to have an impact
Weiterbildungsangebote
- Endless learning opportunities
Sonstige Vorteile
- Enriching experiences
Mentoring & Coaching
- Strong mentorship for professional growth
Über das Unternehmen
Nestle Operational Services Worldwide SA
Branche
Food
Beschreibung
Das Unternehmen ist ein zertifiziertes B Corp-Unternehmen, das soziale und ökologische Standards erfüllt und Gewinn mit Nachhaltigkeit in Einklang bringt.