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Internship for Optimization of Industrial Asset Management(m/w/x)
Developing mathematical models and multi-stage optimization algorithms for critical industrial assets in energy-intensive industries. Master's degree in STEM and publication experience required. Direct contribution to global industrial efficiency.
Anforderungen
- Master's degree in Electrical Engineering, Industrial Engineering, Systems Engineering, Computer Science, Mathematics, or similar field
- Modeling complex systems from first-principles equations
- Familiarity with mathematical optimization and algorithms
- Programming experience in Python or C/C++
- Publication experience
- Familiarity with Git and LaTeX
- Proficiency in using optimization solvers like CPLEX, Gurobi, or open-source solvers
- Good communication skills in English
Aufgaben
- Contribute to research on optimizing Operations & Maintenance for energy-intensive industries
- Develop mathematical models for lifecycle management of critical industrial assets
- Implement multi-stage optimization algorithms to balance strategic goals with operational decisions
- Analyze and summarize results, preparing technical documentation
- Demonstrate readiness to tackle complex problems and implement developed models
- Drive independent work tasks as a project team member
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C/C++
- Git
- LaTeX
- CPLEX
- Gurobi
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Internship for Optimization of Industrial Asset Management(m/w/x)
Developing mathematical models and multi-stage optimization algorithms for critical industrial assets in energy-intensive industries. Master's degree in STEM and publication experience required. Direct contribution to global industrial efficiency.
Anforderungen
- Master's degree in Electrical Engineering, Industrial Engineering, Systems Engineering, Computer Science, Mathematics, or similar field
- Modeling complex systems from first-principles equations
- Familiarity with mathematical optimization and algorithms
- Programming experience in Python or C/C++
- Publication experience
- Familiarity with Git and LaTeX
- Proficiency in using optimization solvers like CPLEX, Gurobi, or open-source solvers
- Good communication skills in English
Aufgaben
- Contribute to research on optimizing Operations & Maintenance for energy-intensive industries
- Develop mathematical models for lifecycle management of critical industrial assets
- Implement multi-stage optimization algorithms to balance strategic goals with operational decisions
- Analyze and summarize results, preparing technical documentation
- Demonstrate readiness to tackle complex problems and implement developed models
- Drive independent work tasks as a project team member
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C/C++
- Git
- LaTeX
- CPLEX
- Gurobi
Über das Unternehmen
ABB AG
Branche
Engineering
Beschreibung
Das Unternehmen ist ein globaler Marktführer, der Industrien dabei unterstützt, effizienter und umweltfreundlicher zu arbeiten.
Noch nicht perfekt?
- ABB AG
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