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Posted 6 days ago
Intern - Learned Video Compression
Huawei Research Center GermanyIntern - learned video compression
Requirements
Master's in Electrical Engineering, IT, CS, Math, or Physics, Interest in media compression and AI, Experience in variable rate functionality and rate matching, Understanding of CNN structure and training, Proficiency in C++, Python, and PyTorch, Fluent English
Skills
PythonC#PyTorchAI
About the role
Responsibilities
- Research innovative algorithms in the field of learning-based video compression
- Research the training of learnable algorithms for video coding
- Develop and implement variable rate functionality and conduct rate matching
- Implement innovative algorithms on reference software
- Generate technical reports and research papers
Requirements
- Currently completing a Master's degree in Electrical Engineering, IT, Computer Science, Mathematics, or Physics
- Deep interest in media compression and artificial intelligence
- Experience in research related to variable rate functionality and rate matching
- Understanding of basic CNN structures and training principles
- Proficiency in C++, Python, and PyTorch
- Fluent in English (both written and spoken)
- Ability to work collaboratively within an international research team
Benefits
- Access to a culture characterized by innovative power and team spirit
- Intensive exchange of knowledge within a global network
- Healthy meal options in the company canteen
- Broad range of training opportunities, including language courses in German and Mandarin
- A diverse and welcoming work environment with many different nationalities
About the Company
Huawei is a leading global information and communications technology (ICT) solutions provider. Our Munich Research Center is responsible for advanced technology research, architectural development, and strategic engineering. The Audiovisual Technology Lab develops innovative technologies in acquisition, encoding, decoding, and processing for the media field.
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Huawei Research Center Germany · Munich
