PhD Researcher in Ultrasound-Based Wall Shear Stress Estimation

1 month ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full time
Transformative Research Opportunity

We are seeking a highly motivated and talented PhD researcher to join our team at the Technical University of Denmark (DTU) in the Section for Ultrasound and Biomechanics. As a PhD researcher, you will have the opportunity to contribute to cutting-edge research in the field of ultrasound-based wall shear stress estimation, working closely with our team of experts in medical imaging and machine learning.

Key Responsibilities:
  • Conduct research in high-frame-rate ultrasound imaging and machine learning
  • Develop and implement machine learning models for vessel wall segmentation and WSS estimation
  • Test and refine the proposed techniques through in-vitro flow phantom studies
  • Collaborate with clinical partners at hospitals for data collection and clinical validation
  • Publish research findings in international peer-reviewed journals and present at conferences
  • Teach and supervise BSc and MSc student projects
Requirements:
  • Strong background in applied mathematics, computer science, biomedical engineering, or related fields
  • Proficiency in image processing, computer vision, and machine learning techniques
  • Advanced programming skills in languages such as Python, MATLAB, or similar
  • Familiarity with medical imaging modalities, particularly ultrasound imaging
  • Ability to analyze complex and large datasets, develop new methodologies, and validate the accuracy of the developed models
What We Offer:
  • A rewarding and challenging job in an international environment
  • Opportunities for professional growth and development
  • Access to state-of-the-art facilities and equipment
  • Collaboration with leading experts in the field
How to Apply:

Please submit your application, including your CV, grade transcripts, and a cover letter, to the link provided. We look forward to receiving your application and welcoming you to our team



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