Bachelor Thesis - Artificial Intelligence in Microcontroller (f/m/div)
Core
Develop AI algorithms and optimize models for edge hardware (microcontrollers) to enable event/data-efficient inference and real-time integration of sensing, compute, and comms.
Role type
Bachelor thesis student (AI/Embedded Systems)
Builds
Simulation/benchmark frameworks, optimized AI models for edge devices, validated prototypes
Domain
Semiconductor / IoT / Embedded AI
Deliverable
production ML models
Required skills
System architecture, data pipeline development, algorithm development, model optimization (quantization/pruning), real-time integration, validation and benchmarking
Preferred skills
German language skills
Technologies
Microcontrollers, simulation frameworks, benchmarking tools
Responsibilities
Define end-to-end system architecture and requirements; Build data pipelines and simulation/benchmark frameworks; Develop and train algorithms for event/data-efficient inference; Map and optimize models for edge hardware; Implement real-time integration of sensing, compute, and comms; Validate prototypes and run power, latency, and accuracy benchmarking
