PhD position on Four-dimensional ultrasound imaging of the brain

Job description

Are you a highly motivated and enthusiastic person eager to contribute to cutting-edge biomedical imaging research and enhancing our understanding of the brain? The BrainEcho Lab within the department of Neuroscience at Erasmus MC is looking for a passionate PhD candidate to join our team and drive innovation in both 4-dimensional (4D) ultrasound imaging and AI analysis. We are developing new techniques for imaging the complex vascular networks of the brain at 1000s of frames per second. This creates new opportunities for surgical guidance, and 4D functional imaging of the brain. Integrating deep learning (AI) into these new techniques is critical, due to the large amount of data. In this role, you will develop: 1) 4D ultrasound imaging sequences using state-of-the-art ultrasound transducers, 2) AI models for ultrasound image processing and functional ultrasound imaging.

Key Responsibilities:

• Program research ultrasound machines for high volume rate ultrasound imaging.
• Develop machine learning models for automated analysis of high volume rate ultrasound imaging.
• Design and execute experiments involving humans.
• Contribute to scientific reports and publications that shape the future of medical imaging.
• Collaborate closely with clinicians, engineers, and fellow researchers to bring your techniques to the clinic.

If you are ready to tackle these challenges and make a significant impact on the field of biomedical imaging, we encourage you to apply for this exciting PhD opportunity at Erasmus MC.

Work environment

A healthy population and excellence in healthcare through research and education. This is what Erasmus MC stands for. Conducting groundbreaking work, pushing boundaries and leading the way. In research, education, and healthcare. We are practical people with a high level of expertise, working hard to improve and renew the healthcare of today and the public health of tomorrow.


 


The BrainEcho Lab develops innovative ultrasound imaging technologies for the brain, to be used for guiding neurosurgical procedures, patient monitoring, and advancing neuroscience research. Our expertise lies in ultrafast and computational ultrasound imaging, which form the foundation for techniques that enable the study of brain activity and visualization of the brain’s intricate vascular networks. For more information, visit our website.

Qualifications and skills

We are seeking candidates with the following qualifications:

• A master's degree in Biomedical/Electrical/Computer Engineering, Physics, or related fields.
• Excellent communication skills in English, both in writing and speaking. 
• Dutch language proficiency is advantageous.
• A solid foundation in (biomedical) imaging, signal processing, and machine learning.
• Previous experience in ultrasound imaging is advantageous.
• Proficiency in programming languages such as MATLAB and Python.
• Familiarity with deep learning libraries (PyTorch, TensorFlow, etc.) is advantageous.
• Outstanding communication and collaboration skills, enabling effective teamwork.

Before you apply please check our conditions for employment.

Terms of employment

• You will receive a temporary position for 4 years. 
• The gross monthly salary amounts to € 3.017,- in the first year, and € 3.824,- in the final year (scale OIO).
• Excellent fringe benefits, such as a 13th month that is already paid out in November and an individual travel expense package. 
• An International Office which aids you in preparing for you arrival and stay. 
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution. 
• Special benefits, such as an in-company physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work. 

More information

If you have questions please contact Jason Voorneveld, assistent professor, via j.voorneveld@erasmusmc.nl.

To apply, please upload:

• Up-to-date cv, including your BSc and MSc transcripts. 
• Motivation letter (maximum 1 page) with contact details for 2 references.

No agencies please.