PhD candidate in Computer Science

University of Amsterdam
September 22 2017
Position Type
Full Time
Organization Type

The System and Network Engineering (SNE) Lab, one of the three largest research labs at the Informatics Institute (IvI), invites applications for a fully funded PhD candidate position in the area of embedded systems design for deep learning applications. More specifically, the PhD candidate will be involved in the research project 'software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures' (ALOHA), which is funded by the EU Horizon 2020 program.

Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm. The main goal of the ALOHA project is to facilitate implementation of DL on heterogeneous low-energy computing platforms.

To this aim, the project will develop a software development tool flow, automating:

  • algorithm design and analysis;

  • porting of the inference tasks to heterogeneous embedded architectures, with optimized mapping and scheduling;

  • implementation of middleware and primitives controlling the target platform, to optimize power and energy savings.

During the development of the ALOHA tool flow, several main features will be addressed, such as architecture-awareness (the features of the embedded architecture will be considered starting from the algorithm design), adaptivity, security, productivity, and extensibility. ALOHA will be assessed over three different use-cases, involving surveillance, smart industry automation, and medical application domains.

The PhD candidate is expected to:

  • perform research in the scope of the ALOHA project, with a focus on modeling, simulation and optimization techniques for designing embedded DL applications;

  • complete and defend a PhD thesis within the official appointment duration of four years;

  • collaborate with other SNE/IvI researchers as well as with researchers from the project consortium;

  • regularly present intermediate research results at international conferences and workshops, and publish them in proceedings and journals;

  • assist in relevant teaching activities.

This job comes from a partnership with Science Magazine and Euraxess

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