This thesis couples technical and economic models to compare deployment strategies for LEO constellations: dedicated launches, rideshare missions, orbital transfer services, or hybrids. You will build cost and schedule models and combine them with simplified technical constraints (e.g. required onboard propulsion for different drop‑off orbits). The aim is to identify strategies that minimize total cost and risk while meeting deployment timelines.

The work is ideal for Wirtschaftsingenieurwesen, Informatik, or related students interested in both space systems and quantitative decision models.

Mini demo challenge (attach repo link in your application):
Implement a small deployment cost comparison that:

• Defines at least two deployment options (e.g. “all dedicated launches” vs. “all rideshare + extra propulsion”), each with simple cost and schedule parameters.

• Computes total cost for deploying a fixed number of satellites under each option and, optionally, uses a simple optimization or search to find the cheapest mix under a deadline constraint.

• In the README, explain your modeling choices and why you selected a particular optimization or simulation tool (e.g. OR‑Tools, PuLP, SciPy, or something else).

The objective is to see how you formalize a techno‑economic trade and select appropriate tools.

Suggested reading:

• Escamilla Estrada, B. I. et al., “A Concurrent Methodology for Optimizing Constellation Deployment and Launcher Selection”, EUCASS Conference Paper.[eucass]​

• Straub, A. N., “Deployment Strategies for Reconfigurable Satellite Constellations”, MIT / AIAA ASCEND.[dspace.mit]

Application:
Interested candidates should submit their application to julius.pinsker@faps.fau.de including:

• Current transcript of records (grades).

• A concise CV (1 page).

• A link to the mini demo repository described above.

I look forward to receiving your innovative applications.

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