Huawei Research Center Zürich
Computer Vision Research Scientist (Image/Video Style Generation and Transfer Specialist)
At Huawei Zurich Research Center, we are at the forefront of cutting-edge AI research and development, specializing in creating innovative solutions that push the boundaries of computer vision and deep learning. Our team is a diverse group of passionate researchers, engineers, and creatives dedicated to advancing the state of the art in AI. We are looking for a highly motivated and talented Computer Vision Research Scientist to join our team and lead our efforts in image and video style transfer.
Key Responsibilities:
- Conduct cutting-edge research in computer vision with a focus on image and video style generation and transfer.
- Develop and implement deep learning models and algorithms for real-time style generation and transfer applications.
- Collaborate with cross-functional teams to integrate research outputs into products and services.
- Publish research findings in top-tier conferences and journals.
- Stay up-to-date with the latest advancements in computer vision, deep learning, and related fields.
- Mentor and collaborate with other researchers, engineers, and interns.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, deep learning, image/video processing, or a similar area.
- Strong publication record in top-tier computer vision and AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Extensive experience with image and video processing, neural style transfer, convolutional neural networks (CNNs), generative models, and/or big foundation models.
- Proficiency in programming languages such as Python, C++, or similar.
- Strong problem-solving skills and ability to work independently as well as in a team environment.
- Excellent communication skills and the ability to present complex technical concepts clearly.
Preferred Qualifications:
- Experience with real-time processing and optimization of deep learning models for deployment.
- Familiarity with transfer learning, multi-task learning, and other advanced machine learning techniques.
- Prior experience in leading research projects or teams.
- Strong understanding of the theoretical foundations of deep learning and computer vision.
Huawei Research Center Zürich
About Huawei Research Center Zürich
Founded in
1987
Huawei Research Center Zürich
Computer Vision Research Scientist (Image/Video Style Generation and Transfer Specialist)
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