Research Intern - Audio AI

Work with researchers to design and implement novel deep learning algorithms for speech/audio processing projects, such as speech/audio enhancement, separation, generation, etc. Work with researchers on the full cycle of research with the goal of pushing state-of-the-art. Extensive literature reading, creative thinking, hands-on development, experiment design, result analysis and patent/academic paper writing. Candidates working towards a PhD degree in the field of deep learning for speech and audio processing. Strong hands-on experience in one or more research areas in deep learning for speech/audio processing, such as enhancement, separation, generation etc. Experience with deep learning models, such as audio or multi-modal lanaguage model, Transformer, Diffusion Models, etc. Strong coding capability with deep learning tools, such as Pytorch. Demonstrable experience programming in Python. Excellent analytical skills and ability to communicate complex information rapidly and efficiently. Good written communication skills, in both Chinese and English. Publications in top conferences/journals (such as ICASSP, INTERSPEECH, NeurIPS, ICLR, ICML, etc.) is a big plus.