Internship in Integrated Aircraft Rotation and Passenger Recovery under Disruption (limited 6-10 months, 60-100%, all genders)

Airline disruptions such as storms or strikes demand fast and intelligent recovery. This internship explores hybrid optimization and machine learning methods to jointly reschedule aircraft and passengers, ensuring efficient, cost-effective, and resilient operations.

Starting date: September 15 or October 1, 2025

Please apply in English.

Facts

  • Location

    Zürich/Kloten

  • Employment level

    University internship

  • Function

    Other

  • Working time

    Full-time or part-time

  • Salary

    CHF 2,500.- gross per month for Bachelor and Advanced Federal Diploma of Higher Education students or graduates / CHF 3,000.- gross per month for Master students or graduates

  • Publishing date

    08-27-2025

  • Application deadline

    09-03-2025

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The internship will involve the development and benchmarking of:

  • Mixed-Integer Linear Programming (MILP) models for integrated aircraft–passenger recovery.
  • Decomposition techniques such as Benders’ Decomposition and Column Generation.
  • Supervised ML models (e.g., decision trees, end-to-end learning) to learn disruption scenarios and operational patterns.
  • Hybrid approaches combining ML and optimisation for faster recovery decisions.
  • Performance benchmarking against state-of-the-art methods using real disruption data.
  • Scalable algorithm insights for robust airline operations.
Contact

Kadir  Göcer

Digital Operations & Optimization
Swiss International Air Lines AG

E-mail address for inquiries
recruiting.services@swiss.com

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

Video: https://player.vimeo.com/video/377755417
Join SWISS

Our common goal is to make each customer’s flight a true air travel experience. For this, we go the extra mile – always, in every step of the process, worldwide. Join the SWISS team to become part of our fascinating world, where a job turns into a lifetime adventure.

We are seeking a motivated graduate student who brings strong analytical skills and a passion for optimization and machine learning, eager to apply theory to real-world airline disruption challenges.

  • For this position, a 60% - 100% workload is preferred.
  • Master’s student in the last year of study or recent graduate within the last 3 months.
  • Enrolled at (or graduate from) EPFL, ETH Zürich, or another recognized technical university in a relevant field (e.g., Engineering, Applied Mathematics).
  • Strong background in operations research, optimization, and machine learning.
  • Proficiency in Python with experience in libraries such as Pyomo, Gurobi, HiGHS, and Scikit-Learn.
  • Swiss residency or EU/EFTA citizenship.
  • Excellent spoken and written English.

For any further questions, please contact our Recruiting Services Center at +41 44 564 22 66.

About Swiss International Air Lines AG

Swiss International Air Lines (SWISS) is Switzerland’s leading air carrier. With one of Europe’s most advanced aircraft fleets, SWISS is a premium airline that provides direct flights from Zurich and Geneva to keep Switzerland connected with Europe and the world. Its Swiss WorldCargo division offers an extensive range of airport-to-airport airfreight services for high-value, time-critical and care-intensive consignments. SWISS embodies Switzerland’s traditional values and is dedicated to delivering the highest product and service quality. The company has also set itself ambitious CO2 goals, and plans to halve its 2019 net CO2 emissions by 2030 and make its business and operations entirely carbon-neutral by 2050, particularly by promoting the use of sustainable aviation fuels. SWISS is part of the Lufthansa Group, and is also a member of Star Alliance, the world’s biggest airline network.

www.swiss.com
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