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Student for a Master's Thesis(m/w/x)
Reviewing mathematical models and solution approaches for aviation industry problems, studying Column Generation. Experience implementing optimization algorithms in Python (Gurobi ideally) required. Subsidized canteen, flexible working hours.
Requirements
- Enrolled master student in Operations Management, Operations Research, or related field
- Familiarity with decomposition methods, especially Column Generation (considered a plus)
- Relevant previous experience in optimization (courses, projects, or thesis work)
- Good academic performance in relevant courses
- Experience in implementing optimization algorithms in Python (ideally Gurobi)
- Interest in aviation and airline applications
Tasks
- Review and understand the problem statement
- Review and understand the mathematical model
- Review and understand initial solution approaches
- Study the basic theory of Column Generation
- Study related solution methods
- Implement a solution approach
- Compare its performance with alternatives
- Analyze and discuss findings
- Evaluate solution quality
- Assess computational efficiency
- Determine practical implications for network optimization
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Decomposition methods
- Column Generation
- Python
- Gurobi
Benefits
Flexible Working
- Flexible working hours
Free or Subsidized Food
- Subsidized canteen
Parking & Commuter Benefits
- Parking
- Good public transport access
Modern Office
- Modern work environment
Informal Culture
- Team-oriented work culture
- Flat hierarchies and short communication channels
Diverse Work
- Challenging tasks
- Varied, creative activities
Learning & Development
- Skill development opportunities
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Student for a Master's Thesis(m/w/x)
Reviewing mathematical models and solution approaches for aviation industry problems, studying Column Generation. Experience implementing optimization algorithms in Python (Gurobi ideally) required. Subsidized canteen, flexible working hours.
Requirements
- Enrolled master student in Operations Management, Operations Research, or related field
- Familiarity with decomposition methods, especially Column Generation (considered a plus)
- Relevant previous experience in optimization (courses, projects, or thesis work)
- Good academic performance in relevant courses
- Experience in implementing optimization algorithms in Python (ideally Gurobi)
- Interest in aviation and airline applications
Tasks
- Review and understand the problem statement
- Review and understand the mathematical model
- Review and understand initial solution approaches
- Study the basic theory of Column Generation
- Study related solution methods
- Implement a solution approach
- Compare its performance with alternatives
- Analyze and discuss findings
- Evaluate solution quality
- Assess computational efficiency
- Determine practical implications for network optimization
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Decomposition methods
- Column Generation
- Python
- Gurobi
Benefits
Flexible Working
- Flexible working hours
Free or Subsidized Food
- Subsidized canteen
Parking & Commuter Benefits
- Parking
- Good public transport access
Modern Office
- Modern work environment
Informal Culture
- Team-oriented work culture
- Flat hierarchies and short communication channels
Diverse Work
- Challenging tasks
- Varied, creative activities
Learning & Development
- Skill development opportunities
About the Company
Bauhaus Luftfahrt e. V.
Industry
Aerospace
Description
The company is a recognized research institution focused on aviation, fostering interdisciplinary collaboration among experts.
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