Thesis Work - Stochastic Modelling of Advanced Multi-Functional Radars Using Reinforcement Learning for Electronic Warfare Applications (AI)

Location: On-site at hirify.global’s Solna Strand office in Stockholm, Sweden.

Company

hirify.global is a defense and security company developing and maintaining systems in aeronautics, weapons, command and control, sensors, and underwater systems.

What you will do

• Develop stochastic models of advanced multi-functional radar behavior for electronic warfare applications.
• Model sequences of latent pulse descriptions rather than emitters at the radio-frequency level.
• Explore rule-based algorithms and trained reinforcement-learning agents that adapt waveform selection and time-on-target.
• Represent adaptive radar scan patterns enabled by Active Electronically Scanned Arrays.
• Collaborate with three hirify.global teams working on AI development, AI research, and radar systems.

Requirements

• Be one of 1–2 students in the final stage of education who are about to begin a 30-hp master thesis project.
• Interest in physics, applied mathematics, and machine learning.
• Work on-site at hirify.global’s Solna Strand office in Stockholm.
• Pass security vetting under applicable 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.
• Contribute to defense and security technology focused on protecting people and society.
• Work across AI development, AI research, and radar-division projects.