PhD candidate, Embedded Systems and Software
The PhD candidate will perform research and development activities within the EU Horizon 2020 project called ALOHA. This project aims at creating a software framework for the design, development, and implementation of runtime-adaptive and secure Deep Learning applications on heterogeneous low-energy embedded platforms. To this aim, the PhD candidate will contribute to the research and development of software tools, automating the:
- Modeling and performance/energy/accuracy analysis of Deep Learning applications;
- Optimized mapping and scheduling of the inference phase of Deep Learning applications onto heterogeneous embedded architectures.
During the research and development of the ALOHA software framework, several main features will be addressed, such as architecture-awareness (the features of the embedded architectures will be considered starting from the deep learning algorithm design), adaptivity, security, productivity, and extensibility.
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