PhD in Contrast Ultrasound Imaging of Nanobubbles for Cancer Diagnostics
Develop advanced signal processing and pharmacokinetic models to transform nanobubble-enhanced ultrasound into a quantitative diagnostic tool for prostate cancer.
Best for:Best for engineers with a strong background in signal processing, kinetic modeling, and a passion for medical imaging.
Overview
The Biomedical Diagnostics lab at Eindhoven University of Technology is seeking a motivated PhD candidate to join the NWO-funded MOMENTUM project. This research focuses on developing innovative signal analysis and pharmacokinetic modeling methods to utilize nanobubbles as diagnostic biomarkers for tumor angiogenesis. You will work with vascular model data to map nanobubble transport, aiming to improve noninvasive prostate cancer diagnostics. The role involves close collaboration with an interdisciplinary team of researchers, clinicians, and industrial partners. You will be expected to contribute to both research and teaching activities within the Department of Electrical Engineering.
What you'll do
- Develop advanced signal processing methods for nanobubble-enhanced ultrasound imaging.
- Create pharmacokinetic and spatiotemporal models to describe nanobubble transport in microvasculature.
- Analyze imaging data derived from lab-grown vascular models to identify diagnostic biomarkers.
- Collaborate with interdisciplinary project partners including researchers at the University of Twente and clinical/industrial stakeholders.
- Contribute to teaching activities for 10-15% of the employment duration.
- Participate in project meetings and disseminate research findings through publications and presentations.
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 relevant Master's degree or equivalent.
Funding & terms
How to apply
Deadline: 2026-11-06
Interested candidates should submit their application through the official university portal. Ensure all required documents are prepared in accordance with the university's guidelines.
- CV
- Cover letter
- Academic transcripts
Contact
Simona Turco· Supervisor
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