United Imaging Intelligence (UII) was established on December 21, 2017. It is led by two world-renowned leaders of the AI industry, Professor Dinggang Shen and Dr. Xiang Sean Zhou. Together, they will lead UII in focusing on "empowerment" and "win-win." UII enables doctors and hospitals to win, for research institutions to win, and for third-party companies to win. Currently, UII has attracted a large number of the most talented people in the field of medical AI to form a medical AI "Dream Team," with a perfect combination of both academic and industrial expertise. UII is committed to providing AI solutions for medical devices, imaging, and diagnosis - helping clients better understand and embrace AI. UII believes in openness and looks toward the future. It is the firm belief of UII that AI will not replace doctors, but doctors will come to understand and appreciate the benefits of AI. The mission of UII is to deepen our knowledge and broaden our experience in medical imaging AI, innovate into multiple new dimensions, and strive to be a trailblazer in the healthcare AI field; and to strive for the broadest application of AI in the healthcare domain, empower and enable our customers, and bring health to all patients and citizens. The business scope of UII is mainly involved in: development of artificial intelligence application software, big data services, computer information technology development, technical consulting, technical services, technology transfer, computer system integration, development and sales of computer hardware and auxiliary equipment, sales of electronic products and mechanical equipment, and health management consulting.

 
Main Responsibilities

1. Participate in AI algorithm R&D for medical image analysis;

2. Participate in research collaborations with hospitals and research institutions. Publication of high-quality conference/journal papers is highly encouraged.

 
Qualification Requirements

1. Graduate student in computer science, biomedical engineering, electronic engineering, applied mathematics, etc. Ph.D. student is preferred;

2. Familiar with state-of-the-art deep learning algorithms and one of mainstream deep learning platforms, such as PyTorch, TensorFlow, Caffe, etc;

3. Skilled in C/C++ programming;

4. Strong publication records in top conference/journal papers of medical image analysis, computer vision and machine learning are preferred;

5. Full-time internship (5 days per week) for at least 3 months; Part-time internship (3 days per week) for at least 6 months;

6. Good learning and communication skills;

7. Good English communication and writing skills.