Master Thesis, 30 HP: ML-based anomaly detection in simulators for a fighter aircraft

Are you a student eager to apply your theoretical knowledge and fresh perspectives to real-world challenges? At Saab, we believe that innovation thrives on new ideas, and your master thesis project could be the spark that ignites our next technological breakthrough.
Your role
We recognize the immense value that students bring to our company. Your academic rigor, combined with your enthusiasm for cutting-edge technology, allows you to approach problems with a unique and insightful lens. At Saab, you'll have the opportunity to collaborate with experienced engineers and specialists, gaining invaluable practical experience while making a tangible contribution to our growth and development.
Background
Isolation Forest and K-means are popular unsupervised machine learning algorithms used for anomaly detection, capable of identifying outliers or anomalies in datasets generated through logging or recording. Threshold levels are critical in determining whether an identified anomaly indicates an actual problem.
Description of the Thesis Project
This MSc thesis project aims at investigating how unsupervised ML algorithms can be used to identify problems in live data streams, and to find relationships between anomalies detected early in a simulation and problems that occur much later. The study will include a review of related previous work, interviews with senior software development engineers at Saab Aeronautics, and an evaluation using one or several ML models relevant to 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.
We provide the support and guidance you need to translate your theoretical knowledge into practical solutions. Join us and become a driving force behind Saab's technological advancements!
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.
Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement.
Contact information
Rebecca Bragée Duchén, Manager Aircraft Simulations
rebecca.brageeduchen@saabgroup.com
Torvald Mårtensson, Master Thesis Supervisor
torvald.martensson@saabgroup.com
What you will be a part of
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 defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 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 defense capability of several nations. Read more about us here.