Ready to tackle real-world airline disruption at scale? Join SWISS in Zürich and develop an integrated aircraft rotation–passenger recovery model using state-of-the-art Operations Research. Work on exact formulations and advanced decomposition methods (Benders, Column Generation) with direct operational impact.
Starting date: April 01, 2026
Please apply in English.
Ready to tackle real-world airline disruption at scale? Join SWISS in Zürich and develop an integrated aircraft rotation–passenger recovery model using state-of-the-art Operations Research. Work on exact formulations and advanced decomposition methods (Benders, Column Generation) with direct operational impact.
Starting date: April 01, 2026
Please apply in English.
Tasks
Passionate about aviation and mathematical optimization? Join OPSD and help build the Operations Decision Support Suite (OPSD) for the Lufthansa Group. Develop integrated rotation–passenger recovery solvers, collaborate with NOC experts, and turn advanced OR models into production tools.
- Formulate and implement integrated aircraft rotation–passenger recovery MILP models
- Develop and test decomposition approaches (e.g., Benders, Column Generation)
- Benchmark solution quality and runtime on realistic disruption scenarios
- Translate business needs into mathematical models
- Collaborate with NOC experts across Lufthansa Group airlines
- Support the transition of optimization prototypes into production-ready solvers
Behind the scenes
Benefits
Subsidized parking or public transport
Company health management
25 days of annual vacation
Flight benefits
Employee and networking events
Remote working (e.g. from home)
Flexible workhours and part-time working models
Discounts
Diversity programmes
Subsidized parking or public transport, Company health management, 25 days of annual vacation, Flight benefits, Employee and networking events, Remote working (e.g. from home), Flexible workhours and part-time working models, Discounts, Diversity programmes
Requirements
We are looking for a highly motivated and analytical candidate with a strong foundation in Operations Research and a keen interest in airline operations. You enjoy tackling complex decision problems and translating theory into production-ready optimization solvers.
- Master’s student or recent graduate in Operations Research, Applied Mathematics, Data Science, or related field
- Strong knowledge of mathematical optimization (MILP, decomposition methods)
- Excellent Python skills and experience with optimization solvers (e.g., Gurobi, CPLEX, HiGHS)
- Experience with Git; familiarity with cloud platforms (e.g., GCP) is a plus
- Interest in software development, performance optimization, and clean code design
- Structured, analytical mindset and very good English skills
For any further questions, please contact our Recruiting Services Center at +41 44 564 22 66.
Contact
Claudia Bongiovanni
Digital Operations & Optimization
Swiss International Air Lines AG
Company
About Swiss International Air Lines AG
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