We are looking for a highly motivated PhD researcher with an interest in optimizing AI models on resource-constrained embedded hardware. Requirements include:

Master’s degree in Electrical Engineering

Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades

Good background in deep learning with familiarity in model training, inference, and evaluation

Experience with embedded hardware, such as AI accelerators (e.g., NVIDIA Jetson, Axelera, Qualcomm, Rockchip) or ARM-based platforms

Solid programming skills, particularly in Python and C/C++, and experience with deep learning frameworks such as PyTorch or TensorFlow

Interest in hardware aware AI, including model compression, quantization, pruning, or efficient neural architectures for low-power devices

Strong communication skills and be fluent in English

Excellent interpersonal skills and the ability to work in an inte...