Research Associate – AI Systems Engineer (all genders)

The group »AI-Based Communication Systems« within the Wireless Systems and Standardization (WSS) department in the Communication Systems division at Erlangen focuses on research, implementation and demonstrations of AI-enabled wireless communication systems. The group investigates machine learning and mathematical optimization techniques for sensing and communication applications to optimize radio link, end-to-end network performance, and edge inference across terrestrial and non-terrestrial networks. Our activities span a wide range of methodologies, from link/system-level simulation and data-driven experimentation to real-time evaluation with hardware-aware training and deployment.

• Concept & Demonstration: Design, develop, and demonstrate proof-of-concept systems for AI-enabled autonomous communication systems with integrated sensing.
• Industrialization: Transfer research prototypes into robust demonstration platforms for industrial partners, customer engagements, and technology showcases.
• Embedded Intelligence: Develop, implement, and optimize AI/ML models on embedded platforms and hardware accelerators.
• Wireless Algorithms: Implement and optimize communication and signal processing algorithms for real-time wireless and sensing systems.
• Performance Validation: Evaluate system performance through simulations, laboratory experiments, and hardware-based testing.
• Project Support: Contribute to technical documentation, proposal preparation, and customer demonstrations.

• Top of the line infrastructure at your workplace: With our state-of-the-art technologies, we develop solutions to meet the challenges of today and tomorrow.
• We value personal contact: With our structured onboarding process, you will quickly become familiar with our institute and be able to extend your network successfully.
• We take your needs seriously: We support your work-life balance by offering flexible working hours and hybrid work.
• Your goals and interests are important to us: We offer ongoing professional and personal seminars, coaching, and language classes.
• We offer complimentary parking spaces, charging stations for electric cars, covered bicycle parking, and showers at the institute.
• In-house health management, including sports courses, running groups, and relaxation seminars.

The weekly working time is 39 hours. The position can also be filled part-time, but as close to full-time as possible. The position is initially limited to 2 years with the aim to extend it subsequently. Appointment, remuneration and social security benefits are based on the public-sector collective wage agreement (TVöD). In addition, Fraunhofer may grant performance- and success-based variable compensation components.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.