Master Thesis, 30 HP: ML-based Anomaly Detection in Simulators for a Fighter Aircraft (ML)

Location: Linköping, Sweden; suitable start time in January 2026

Company

hirify.global is a defense and security company headquartered in Sweden that designs, manufactures, and maintains systems in aeronautics, weapons, command and control, sensors, and underwater systems.

What you will do

• Investigate how unsupervised machine learning algorithms can identify problems in live data streams.
• Analyze relationships between anomalies detected early in a simulation and problems occurring much later.
• Review related previous work.
• Interview senior software development engineers at hirify.global Aeronautics.
• Evaluate one or several machine learning models relevant to anomaly detection.

Requirements

• Be at the end of a Master of Science degree in Computer Science and Engineering, Industrial Engineering and Management, Information Technology, or a related field.
• Be about to start Master Thesis work for 30 HP.
• Have an interest in software development and software testing.
• Pass security vetting based on current security protection regulations; additional citizenship obligations may apply for positions requiring security clearance.

Culture & Benefits

• Receive support and guidance to translate theoretical knowledge into practical solutions.
• Collaborate with experienced engineers and specialists.
• Gain practical experience while contributing to hirify.global's technological development.
• Work in an environment focused on innovation, creativity, and advanced technology.