PhD Research Intern (Deep Learning)

TL;DR

PhD Research Intern (Deep Learning): Designing and implementing deep learning algorithms for music-conditioned video generation, including text-to-video and audio-to-video systems, with an accent on multimodal modeling, generative methods, and experimental research. Focus on developing state-of-the-art models, analyzing results, and translating research findings into academic publications and patents.

Location: Onsite at the Beijing office, China

Company

An entertainment technology company developing audio, video, and immersive media technologies through applied research and product innovation.

What you will do

• Design and implement novel deep learning algorithms for music-conditioned video generation.
• Research text-to-video, audio-to-video, and related multimodal generation tasks.
• Collaborate with researchers across the full research cycle, from literature review and experiment design to implementation and analysis.
• Develop and evaluate models intended to advance the state of the art.
• Communicate findings through academic papers and patent applications.

Requirements

• Currently pursuing a PhD focused on deep learning for music or video generation.
• Hands-on research experience in music or video generation, including text-to-video or audio-to-video systems.
• Experience with state-of-the-art audio or multimodal language models, Transformers, or diffusion models.
• Strong coding skills with PyTorch and Python.
• Strong analytical skills and the ability to communicate complex information efficiently.
• Good written communication skills in both Chinese and English are required.

Nice to have

• Publications in leading conferences or journals such as ICASSP, INTERSPEECH, NeurIPS, ICLR, or ICML.

Culture & Benefits

• Collaborative culture combining scientific research with entertainment technology.
• Access to resources for challenging research projects with practical impact.
• Flexible work approach supporting different working styles, while this position is based onsite in Beijing.
• Compensation and benefits are offered.