PhD Position AI for Ultrasound Localization Microscopy
Thursday 11th April 2024
Contact Email for the Job Posting q.tao@tudelft.nl
Organization Delft University of Technology
Location Delft, the Netherlands
Title PhD Position AI for Ultrasound Localization Microscopy
URL https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=5169&nPostingTargetId=16998&id=QEZFK026203F3VBQBLO6G68W9&LG=UK&languageSelect=UK&mask=external
Closing date May 15, 2024
Description Job description
Artificial intelligence (AI) methodologies are propelling nearly all imaging applications in life science and biomedical research. Ultrasound Localization Microscopy (ULM) is a breakthrough imaging modality that enables scientists to visualize the microvasculature of living organisms with a 10 microns precision. However, ULM is currently relatively slow. To go beyond the state of the art, one can rely on physics prior and the latest AI techniques to accelerate ULM imaging in 3 dimensions. In this PhD project you will be embedded in a multidisciplinary collaboration enabling you to pursue advances at the interface of AI, ultrasound physics and medical imaging.
Requirements
A master’s degree in applied physics, biomedical engineering, computer science or similar.
Experience in programming (Python and/or Matlab).
Good interpersonal and communication skills.
Prior experience in AI/machine learning is a plus.
Affinity for biomedical imaging is a plus.
Motivation for teaching and student supervision is a plus.
Application procedure
Are you interested in this vacancy? Please apply before the 15th of May 2024 via the application button and upload your motivation and CV.
A pre-employment screening can be part of the selection procedure.
Applying for an exemption for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. You can apply online. We will not process applications sent by email and/or post.
Please do not contact us for unsolicited services.
For further information, please contact David Maresca (d.maresca@tudelft.nl) or Qian Tao (q.tao@tudelft.nl)