Background
Isolation Forest and K-means are popular unsupervised machine learning algorithms used for anomaly detection, that can be used for identifying outliers or anomalies in datasets from logging or recording. The threshold levels are critical to determine if the identified anomalies should indicate a problem or not.
Description of the Thesis
This MSc thesis project aims at investigating how unsupervised ML algorithms can be used to identify problems in simulators for large-scale and complex systems. The study shall include a study of related previous work, interviews with senior engineers in software development at Saab Aeronautics, and evaluation using one or several ML models relevant for anomaly detection.
Your profile
This Master Thesis is suitable for one or two students, with interest in software development and software testing. You are at the end of your Master of Science in e.g. Computer Science and Engineering, Industrial Engineering and Management, or Information Technology and about to start your Master Thesis work for 30 HP
A suitable start time for the work is in January 2026.
This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.
What you will be a part of
The Aircraft Simulation is a part of Development Simulator area and is responsible for developing and supplying a realistic simulation of the JAS 39 Gripen that is used for both development of the aircraft and for pilot training purposes. We are building for the future of our products through teamwork, innovation and close cooperation with our stakeholders.
Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.
Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 26,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.
Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations. Read more about us here
Last application day
2025-11-30
Contact information
Amir Mustic, Manager Aircraft Simulation
Torvald Mårtensson, Thesis Supervisor