Master Thesis 30 HP: Mission-Critical Runtime Assurance for Autonomous Combat Aircraft
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Data Science
In short
This master thesis project at Saab in Linköping, Sweden, focuses on mission-critical runtime assurance for autonomous combat aircraft. Students will investigate how to supervise complex planning and decision-making functions to ensure mission feasibility and capability, involving theoretical analysis, algorithm development, and simulation.
Responsibilities
- Investigate mission-critical runtime assurance for autonomous combat aircraft.
- Study supervision of advanced planning or guidance functions at runtime.
- Define and evaluate mission feasibility and recoverability metrics.
- Develop and implement runtime assurance concepts and algorithms.
- Conduct literature study and evaluation through simulation.
- Address topics like prediction of future mission feasibility under uncertainty, fallback behaviors, and interaction between mission-critical and safety-critical assurance.
Requirements
- Currently in the final stage of a master’s program in Applied Physics and Electrical Engineering or equivalent.
- About to begin a 30 hp thesis project.
- Interest in automatic control, optimization, agentic models, and autonomous systems.
- Willingness to undergo security vetting.
Desired Qualifications
- The project is suitable for preferably one, at maximum two students.
Benefits
- Opportunity to apply theoretical knowledge to real-world challenges.
- Collaborate with experienced engineers and specialists.
- Gain invaluable practical experience.
- Make a tangible contribution to company growth and development.
- Work on a research problem closely connected to the development of future mission capabilities.
- Be part of ongoing research and development on distributed sensing, data fusion, autonomy, and resilient mission systems.
#autonomous systems#combat aircraft#runtime assurance#master thesis#optimization#machine learning#control systems