Master Thesis: Stochastic ML for Adaptive Multi-Functional Radars

Saab AB; Solna kommun; On-site; SEK 120,000 - 180,000; Full time

Job summary

Saab AB in Stockholm is seeking master’s students to work on a 30-ECTS thesis project within the Electronic Warfare domain. You will collaborate with engineers to turn theoretical concepts into practical radar analysis and data-driven models.

The project spans three Saab teams, including AI development and radar division contributors in Gothenburg, offering hands-on experience and mentorship in a structured environment.

Qualifications

• 1-2 students in final stage of their education, pursuing a 30-hp thesis project.
• Interest in Physics, Applied Mathematics, and Machine Learning.

Responsibilities

• Collaborate with engineers and specialists to translate theory into practical solutions.
• Model advanced multi-functional radars (MFRs) and related signal analysis concepts.
• Explore rule-based and learned approaches to adapt time-on-target and waveforms.

Skills

Physics

Applied Mathematics

Machine Learning

Education

Master's student in Physics

Job description

Saab AB in Stockholm is seeking master’s students to work on a 30-ECTS thesis project within the Electronic Warfare domain. You will collaborate with engineers to turn theoretical concepts into practical radar analysis and data-driven models.

The project spans three Saab teams, including AI development and radar division contributors in Gothenburg, offering hands-on experience and mentorship in a structured environment.