PhD in Contrast Ultrasound Imaging of Nanobubbles for Cancer Diagnostics
Develop advanced pharmacokinetic models and signal analysis methods to enable noninvasive, nanobubble-enhanced ultrasound imaging for prostate cancer diagnostics.
Best for:Best for candidates with a strong background in signal processing, quantitative modeling, and a passion for medical imaging and cancer research.
Overview
Eindhoven University of Technology is seeking a motivated PhD candidate to join the MOMENTUM project, which aims to revolutionize prostate cancer diagnostics through nanobubble-enhanced ultrasound imaging. The successful applicant will design quantitative pharmacokinetic and spatiotemporal models to analyze how nanobubbles traverse microvasculature, providing critical biomarkers for tumor angiogenesis. This interdisciplinary role involves working with lab-grown vascular models and collaborating with a diverse team of researchers and industrial partners. The position is based in the Biomedical Diagnostics lab within the Department of Electrical Engineering, offering a supportive environment for scientific growth.
What you'll do
- Develop and implement pharmacokinetic and spatiotemporal models for nanobubble transport.
- Perform quantitative signal analysis on imaging data derived from vascular models.
- Collaborate with interdisciplinary team members, including PhDs, postdocs, and technicians.
- Engage with industrial and clinical partners to translate research toward clinical application.
- Contribute to teaching activities for approximately 10-15% of the employment duration.
- Participate in project meetings and report findings within the MOMENTUM consortium.
Requirements
Degree required: Master's degree in Electrical Engineering, Biomedical Engineering, Applied Physics, or a related field.
Degree offered: PhD
Language: English; C1 level proficiency in spoken and written English.
Instruction: English
- Strong background in signal processing and statistical or kinetic modeling.
- Proficiency in quantitative data analysis.
- Advanced programming skills in MATLAB and Python.
- Analytical thinking and problem-solving capabilities.
- Ability to work effectively in an interdisciplinary team.
- Must hold a Master's degree or equivalent university degree.
Funding & terms
How to apply
Deadline: 2026-11-06
Submit a complete application via the official university portal. Ensure your application includes a cover letter, a CV with a publication list and three references, and academic transcripts.
- Cover letter
- CV
- BSc + MSc transcripts
- 3 reference letters
Contact
Simona Turco· Associate Professor
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