Aviation Scheduling Optimization Specialist (Hybrid)

Jeppesen-Systems-Ab

Göteborgs kommun

Hybride

SEK 900 000 - 1 200 000

Plein temps

Il y a 9 jours

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Avantages offerts par ce poste

Medical Insurance
Life/AD&D Insurance
Health & wellness reimbursement
Pension plan
30 paid vacation days

Résumé du poste

Jeppesen ForeFlight in Gothenburg seeks an Optimization Expert to advance real-time crew scheduling and disruption recovery using advanced optimization techniques. The role combines core algorithm development, research, and production implementation within a fast-moving software organization.

You will work in a hybrid environment with a team of engineers, collaborating across product and customers to deliver robust, scalable solutions while integrating AI agents and models into daily workflows.

Qualifications

  • PhD or Master's degree in mathematical optimization or related field.
  • 5+ years of experience in optimization or closely related domains.
  • Hands-on experience with AI agents and models in development.
  • Proven ability to model real-world scheduling problems.

Responsabilités

  • Design and improve optimization algorithms for real-time crew scheduling and disruption recovery.
  • Model regulatory, contractual, and practical constraints.
  • Implement and test solutions in production C++ environments.
  • Collaborate with product, engineering, and customers to deliver usable solutions.
  • Explore ML/AI enhancements and drive knowledge sharing.

Connaissances

Mathematical optimization
AI/ML experience
English communication

Formation

PhD or Master's degree in a relevant field

Outils

C++
Python
Linux

Description du poste

Jeppesen ForeFlight in Gothenburg seeks an Optimization Expert to advance real-time crew scheduling and disruption recovery using advanced optimization techniques. The role combines core algorithm development, research, and production implementation within a fast-moving software organization.

You will work in a hybrid environment with a team of engineers, collaborating across product and customers to deliver robust, scalable solutions while integrating AI agents and models into daily workflows.

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