Fraunhofer-Gesellschaft
Masterarbeit - Großskalige Optimierung in der Supply-Chain-Logistik(m/w/x)
Full-timeInternshipOn-site
Garching bei München
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FRFraunhofer-Gesellschaft
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Garching bei München
Full-timeOn-site
AI/ML
Nejo AI Summary
Designing and implementing modular optimization solutions for supply chain logistics. Combinatorial optimization knowledge and Python programming skills required. Flexible working style, workplace at new institute building.
Requirements
- Programming skills, preferably Python
- Good software engineering practices
- Linux OS
- Git-based version control
- Knowledge in combinatorial optimization
- Experience implementing machine learning solutions
- Experience implementing reinforcement learning solutions
- Experience with common optimization libraries
- Experience with machine learning libraries
- Working with real-world data
- Data cleaning
- Handling missing data
- Data robustness
- Enrollment in a German university
- University enrollment in Munich or surrounding area
- Student of M.Sc. Computer science
- Student of M.Sc. Cognition, Intelligence
- Student of M.Sc. Data Engineering
- Student of M.Sc. Mathematics
- Student of related subjects
Tasks
- Review relevant literature and existing solutions
- Formalize the use case, scale, constraints, and data
- Design a prototypical end-to-end system
- Research decomposition strategies (temporal, spatial, mathematical)
- Implement a modular solution using classical optimization
- Explore quantum-inspired methods
- Integrate AI techniques
- Manage solution orchestration with an agentic component
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Linux OS
- Git
- Gurobi
- CPLEX
- HiGHS
- pytorch
- tensorflow
Benefits
Informal Culture
- Approachable supervisors
- Integration into dynamic team
- Insights into Fraunhofer ways of working
Diverse Work
- Innovative task areas
Flexible Working
- Flexible working style
Modern Office
- Workplace at new institute building
Purpose-Driven Work
- Insights into applied science practices
- Preference for severely disabled persons
Other Benefits
- Practical approach to studies
- Diversity promotion
Ergonomic Workplace
- Workplace solutions for disabled persons
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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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- Fraunhofer-Gesellschaft
Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Full-timeInternshipOn-siteGarching bei München
FRFraunhofer-Gesellschaft
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Garching bei München
Full-timeOn-site
AI/ML
Nejo AI Summary
Designing and implementing modular optimization solutions for supply chain logistics. Combinatorial optimization knowledge and Python programming skills required. Flexible working style, workplace at new institute building.
Requirements
- Programming skills, preferably Python
- Good software engineering practices
- Linux OS
- Git-based version control
- Knowledge in combinatorial optimization
- Experience implementing machine learning solutions
- Experience implementing reinforcement learning solutions
- Experience with common optimization libraries
- Experience with machine learning libraries
- Working with real-world data
- Data cleaning
- Handling missing data
- Data robustness
- Enrollment in a German university
- University enrollment in Munich or surrounding area
- Student of M.Sc. Computer science
- Student of M.Sc. Cognition, Intelligence
- Student of M.Sc. Data Engineering
- Student of M.Sc. Mathematics
- Student of related subjects
Tasks
- Review relevant literature and existing solutions
- Formalize the use case, scale, constraints, and data
- Design a prototypical end-to-end system
- Research decomposition strategies (temporal, spatial, mathematical)
- Implement a modular solution using classical optimization
- Explore quantum-inspired methods
- Integrate AI techniques
- Manage solution orchestration with an agentic component
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Linux OS
- Git
- Gurobi
- CPLEX
- HiGHS
- pytorch
- tensorflow
Benefits
Informal Culture
- Approachable supervisors
- Integration into dynamic team
- Insights into Fraunhofer ways of working
Diverse Work
- Innovative task areas
Flexible Working
- Flexible working style
Modern Office
- Workplace at new institute building
Purpose-Driven Work
- Insights into applied science practices
- Preference for severely disabled persons
Other Benefits
- Practical approach to studies
- Diversity promotion
Ergonomic Workplace
- Workplace solutions for disabled persons
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Masterarbeit - Großskalige Optimierung in der Supply-Chain-Logistik(m/w/x)
Full-timeInternshipOn-siteGarching bei München - Fraunhofer-Gesellschaft
Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Full-timeInternshipOn-siteGarching bei München