Open PhD Position for Efficient and Robust Hardware for AI Algorithms
Duration: 3 years with a possible extension
Tasks: 1. This new PhD position aims to explore the efficient and robust implementation of AI algorithms, e.g., neural networks, on hardware. Concrete topics of this position can include but not limited to:
- Optimization of digital circuits for neural networks considering power, performance and area.
- Hardware-aware neural networks.
- Robust analog-computing with devices, e.g., memristors and silicon photonic components, as well as digital computing for AI algorithmsOptimization of AI algorithms on FPGAs.
- Optimization of AI algorithms on FPGAs.
2. Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.
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