Research Intern, Medical Imaging AI (Burlington)

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA.

We are seeking Research Interns to contribute to our R&D efforts in Artificial Intelligence, Medical Imaging, and Computer Vision. As a part of our team, you will collaborate with senior experts, tackle challenging technical problems, and gain valuable experience developing AI solutions for healthcare. Exceptional work during the internship may lead to contributions to practical product solutions or publications in top-tier journals and conferences.

Responsibilities:

• Conduct cutting-edge research on AI and Deep Learning algorithms to address challenges in medical imaging.
• Explore and develop medical image foundation models, multi-modality models, and generative AI techniques.
• Collaborate with senior team members to implement and refine advanced algorithms for medical imaging analysis and computer vision.
• Translate research findings into practical applications for real-world healthcare challenges.
• Contribute to team-oriented projects in a collaborative and innovative research environment.
• Stay updated on emerging trends and technologies in AI and medical imaging to drive impactful advancements.

Qualifications:

• Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related field.
• A proven track record of publications in relevant fields (e.g., Machine Learning, AI, Computer Vision, Medical Imaging) is a plus.
• Knowledge of state-of-the-art AI methods including deep learning, generative AI, foundation models and multi-modality models.
• Familiarity with medical imaging analysis or computer vision.
• Proficiency in Python and C/C++.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong problem-solving abilities, critical thinking, and self-motivation.
• Effective communication skills and a collaborative mindset.