PhD scholarship in Self-Adaptive AI Systems and Embedded Intelligence - DTU Compute
Tasks
- Build proof of concept implementations
- Collaborate with academic and industrial partners
- Conduct research on reliable sustainable self adaptive AI systems
- Develop models methodologies runtime mechanisms for uncertainty reliability resource consumption adaptive behavior
- Experimentally validate AI enabled systems on embedded edge distributed platforms
- Publish research results
- Serve as teaching assistant
Perks/Benefits
- Academic and industry collaboration
- International research environment
- Relocation support
- State-of-the-art facilities
Skills/Tech-stack
Artificial Intelligence | Cyber-Physical Systems | Distributed Systems | Edge Computing | Embedded Systems | Generative AI | Machine Learning | Physical systems | Probability theory | Statistical modeling | Uncertainty Quantification
Education
Roles
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