PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Air[...]

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

Design the simulation models that will help airlines fly future aircraft types profitably and sustainably before they take off!

Job description

Research and industry are increasingly investing in new aircraft concepts, such as those powered by batteries, hydrogen, and other alternative energy sources. These aircraft promise to reduce aviation’s climate impact but have fundamentally different performance characteristics, requiring airlines to rethink operations before such aircraft enter service. This PhD project will help make this transition possible.

The primary focus is the development of new methods and models that efficiently couple new aircraft designs with fleet allocation and schedule decisions, enabling airlines to minimize fleet‑wide emissions when new aircraft types are introduced. The resulting models will form part of a larger simulation environment that evaluates future airspace.

Responsibilities

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

Job requirements

• MSc degree in Aerospace Engineering, Industrial Engineering, Operations Research, Applied Mathematics, or a 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, strong communication and academic writing skills in English, and a team‑work orientation.

Conditions of employment

Doctoral candidates will be offered a 4‑year period of employment in principle, through two employment contracts: an initial 1½‑year contract with a formal assessment after 15 months, followed by a second contract covering the remaining 2½ years upon satisfactory performance.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities: €3 059 – €3 881 gross per month, increasing over the four years on a full‑time (38‑hour) basis, plus 8 % holiday allowance and an end‑of‑year bonus of 8.3 %.

PhD candidates are enrolled in the TU Delft Graduate School, which offers a supportive research environment, a doctoral education programme, and a flexible compensation package including discounts on health insurance and a monthly work‑costs contribution. Flexible work schedules can be arranged.

Benefits

As part of a diverse and collaborative ecosystem, the PhD candidate will work within the Dutch Aviation Systems Analysis Lab (DASAL) at TU Delft, collaborating closely with experts at the Dutch Aerospace Laboratory (NLR) and the Ministry of Infrastructure and Water Management. The candidate will join a team of twelve PhD candidates and three postdocs from across the Faculty of Aerospace Engineering.

We are committed to fostering an inclusive and welcoming workplace, supported by our Diversity & Inclusion team, offering tangible assistance such as funding for family and caregiving responsibilities, mentoring programmes, and initiatives that promote cultural exchange.