Master Thesis: Parametric Cost Model aircraft design

Master Thesis:
Parametric Cost Model aircraft design

• Hybrid
• Amsterdam, Noord-Holland, Netherlands
• Aerospace Systems

The development of new aircraft types is a large and technically complex operation. The development process takes a long period, and there are many difficult technical trade‑offs involved. For each trade‑off, there is engineering judgement to make a well‑founded choice. An important challenge is to design an aircraft that fulfils customer demands, covering technical performance and economic exploitation elements such as costs and availability.

A large part of operating costs depends on early design choices, and the economic consequences become apparent later. To bridge this gap, a reasonable estimation of early costs is needed. At NLR, we facilitate the transition towards sustainable aviation by creating technically suitable and commercially desirable alternatives that are financially attractive to operate. Understanding the costs of an aircraft design is vital, and a parametric cost model will help clarify them.

Build a data analysis model in python to assess a variety of cost factors for aircraft design and their impact on operational costs.

Build a python model to analyse the data.

Scientific research report relating to cost models for aircraft design, describing applied methods, findings and recommendations.

Python code with appended and functional models in the NLR system.

6-9 months

Preferably a specialisation in Aerospace/Aviation operations.

Knowledge of Python.

Assertive and self‑motivated, able to be part of the project team and also proceed individually.

A challenging graduation project/internship in a high‑tech result‑oriented work environment.

Weekly supervision and availability of the technical staff for support.

Working in an actual R&D project as part of the team.

Internship results to be used in the current and future projects.

Royal NLR has been a knowledge organization with the will and ambition to innovate for over 100 years. Based on that motivation, we make the world of aviation and space travel safer, more sustainable, more efficient and effective and stand for groundbreaking innovations. We employ more than 1000 passionate professionals, from aircraft engineers to psychologists and from mathematicians to application experts.

NLR stands for an inclusive and diverse organization where everyone feels welcome, safe, valued and respected.

Hier nog wat info over de afdeling bijvoorbeeld:
This assignment will be managed by the Maintenance Engineering group of the Avionics Systems and Maintenance Engineering (ASAM) department of NLR.

A positive VOG screening is necessary for this position.