Researcher - Machine learning and Perceptual Quality

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization utilization of AI throughout difference components. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, competitive camera Perceptual quality, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Research and implement algorithms to improve image quality for camera products: Focus on developing and optimizing deep learning-based algorithms to enhance image quality.
• Research on algorithms to improve image quality for camera products. Using optimization, deep learning, fine-tuning (e.g. LoRA), Image quality assessment, reinforcement learning, etc.
• Conduct research on foundation models (CLIP-LMMs and LLMs) and diffusion models with specialized application on image quality assessment (IQA) and image style transfer.
• Large language model soft prompting techniques for specializing in image quality assessment question answering.
• Research in the field of color style transfer, AI white balancing and Tone mapping.
• Research, design and develop deep learning tools, metrics and workflows to improve camera perceptual quality.
• Keeping up-to-date on recent advances in related fields and publish in top tier conferences.

Requirements

What you'll bring to the team:

• Ph.D. or MSc. in computer science, computer engineering or related fields.
• Solid knowledge in general machine learning and AI.
• Good understanding about statistics, EDA and OpenCV library.
• Strong coding abilities using Python, Github, Linux shell scripting, etc.
• Excellent communication skills, self-motivated, with creative thinking and attention to details.
• Solid knowledge about foundation models, diffusion models, and prompt learning.
• Familiarity with LLM fine-tuning techniques and computation photography such as knowledge about color coordinates, tone mapping and white balancing is a bonus.
• Solid research experience as demonstrated by publications.