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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
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
ABB AG
Branche
Engineering
Beschreibung
Das Unternehmen ist ein globaler Marktführer, der Industrien dabei unterstützt, effizienter und umweltfreundlicher zu arbeiten.
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