Vacancies

Welcome to our dynamic research group, where we are pioneering advancements in ultrasound imaging through the integration with diverse data modalities—including video, images, audio, text reports, probe motion, and other inputs. Our mission is to transform traditional ultrasound imaging by enhancing it with cutting-edge computer vision techniques and multimodal data streams, ultimately creating a richer, more comprehensive diagnostic experience. By developing advanced tools and algorithms, we aim to improve diagnostic accuracy, streamline workflows, and support sonographers with real-time insights. We welcome passionate and self-motivated individuals to join us in this exciting journey!

PhD Student Requirement

We are seeking talented and motivated PhD students with a keen interest in AI for healthcare.

  • Relevant Research Experience: Previous work in computer vision, medical image analysis, or AI for ultrasound imaging is a plus.
  • Motivation for Real-world Impact: Passionate about applying AI to solve real healthcare challenges.
  • Passion for AI in Healthcare: Highly motivated and enthusiastic about applying AI in medical imaging and healthcare.
  • Academic Contributions: Preferably have first-authored publications in top-tier journals and conferences related to the field.
  • Problem-Solving and Learning Agility: Strong analytical skills and the ability to quickly learn and adapt to new challenges.
  • Technical Proficiency: Skilled in programming languages (Pytorch, Python, C++, etc.).
  • Teamwork and Communication: Ability to collaborate effectively in a multidisciplinary environment.

Application

If you are interested in joining us as a PhD student, please send me the following materials:

  • Curriculum Vitae (CV)
  • Undergraduate Transcripts
  • 1-Page Research Statement: Summarize your research interests, relevant experience, and future research goals. Explain how your skills and experience align with the selection criteria for this position, using specific examples where possible.
  • Supporting Materials: Include any additional documents (such as 1-3 representative publications, academic or research awards, or proof of English proficiency) that further demonstrate your qualifications and research potential.

Please send your application to xiaoqingguo at hkbu dot edu dot hk.

In addition to PhD positions, we also offer opportunities for research assistants and visiting students.

Note: Due to the high volume of emails we receive, I may not be able to respond to every applicant individually. If you do not hear back from me, please understand that this does not reflect your qualifications or potential. Only shortlisted candidates will be contacted for further discussions.