Deggendorf Institute of Technology

I am seeking a researcher/PhD student to investigate energy-efficient and fault-tolerant machine learning (ML) hardware as part of a research project supported by a grant. As an ML hardware researcher you will collaborate with me on novel research & development related to energy-efficient training of reinforcement learning workloads, fault-tolerance of ML hardware and impact of emerging hardware architectures on ML. Your work will be crucial for improving the carbon footprint and reliability of the future of AI and its impacts on society.