PhD: Sustainable Aviation Fleet & Schedule Modeling

Qabird; Delft; On-site; EUR 34,138 - 43,311; Full time

Benefits offered by this job

Discount on health insurance

Monthly work-costs contribution

Flexible work schedules

Mentoring programmes

Job summary

TU Delft, within the Faculty of Aerospace Engineering, seeks a PhD candidate to design simulation models that connect new aircraft concepts with fleet allocation and scheduling decisions to minimize emissions. The project integrates with a larger environment for evaluating future airspace and supports collaboration across departments.

The role combines model development, network planning, and operational optimization, emphasizing a strong background in Python programming and passion for

Qualifications

• MSc degree in Aerospace Engineering, Industrial Engineering, Operations Research, Applied Mathematics, or related field.
• Strong programming skills in Python and experience building simulation environments.
• Experience with fleet planning, airline network scheduling, and/or optimisation methods.
• Genuine interest in sustainable aviation.
• Proactive, problem-solving attitude with strong communication and academic writing skills in English, and a team-oriented approach.

Responsibilities

• Model development: characterize key performance differences between current and future aircraft models.
• Evaluate how these differences affect fleet assignment and network planning.
• Optimize airline operations—fleet composition, scheduling, routing—based on new aircraft capabilities.
• Assess the resulting fleet-wide economic and climate impact.
• Facilitate future expansion to incorporate other domain models (e.g., noise) in collaboration with other departments of the Faculty of Aerospace Engineering.

Skills

Python

Simulation

Fleet planning

Optimization

Academic writing

Education

MSc in Aerospace Engineering, Industrial Engineering, OR, Applied Mathematics

Tools

Python

Job description

TU Delft, within the Faculty of Aerospace Engineering, seeks a PhD candidate to design simulation models that connect new aircraft concepts with fleet allocation and scheduling decisions to minimize emissions. The project integrates with a larger environment for evaluating future airspace and supports collaboration across departments.

The role combines model development, network planning, and operational optimization, emphasizing a strong background in Python programming and passion for