Scholarship in AI for Master Students
Core
Master's students conduct research on embedded AI, neural networks, and hardware-software co-design in partnership with Bosch mentors.
Role type
Master's student research scholar (AI/Embedded Systems)
Builds
Master thesis projects and research prototypes
Domain
Automotive, IoT, Embedded AI, Hardware-Software Co-design
Deliverable
research
Required skills
Embedded AI, Neural networks optimization, Hardware-friendly AI architecture, Knowledge distillation, Real-time physical AI, AI training optimization, Hardware-Software co-design
Preferred skills
Team collaboration, Initiative, Proactive self-driven working style
Technologies
Embedded systems, AI chips, Neural networks, Large models, Small embedded models
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