Eindhoven University of Technology is seeking a PhD candidate for a project named MOMENTUM, funded by NWO, focusing on nanobubble-enhanced ultrasound imaging for cancer diagnostics. The project aims to develop pharmacokinetic models and signal analysis methods to transform nanobubble transport into a diagnostic biomarker, specifically for prostate cancer. The role involves working with imaging data from vascular models to create spatiotemporal models describing nanobubble movement. The successful candidate will collaborate with other researchers and industrial/clinical partners. Applicants should have a master's degree in a relevant engineering or physics field, strong background in signal processing, and proficiency in MATLAB and Python. The position offers full-time employment for four years, a competitive salary, and various benefits. The application deadline is November 6, 2026.
| Department | Biomedical Diagnostics (BM/d) lab, Signal Processing Systems group, Department of Electrical Engineering |
| Position Type | PhD |
| Discipline | Engineering, Biomedical Engineering, Applied Physics |
| Research Area | Ultrasound Imaging, Nanobubbles, Cancer Diagnostics, Signal Processing, Statistical Modeling, Kinetic Modeling, Quantitative Data Analysis |
| Degree Required | Master's degree or equivalent university degree |
| Salary | €3,204 – €4,051 gross base salary per month (full-time) |
| Funding | NWO Open Technology Programme |
| Contract Duration | Four years, with an intermediate assessment after nine months |
| Language | English (C1 level) |
| Deadline | 2026-11-06 |
| Required Documents | Cover letter describing motivation and qualifications, Curriculum vitae including a list of publications and contact information of three references, Transcript of grades from master's and bachelor's degree |
| Employer Address | De Zaale, Eindhoven, 5612AZ, Netherlands |
| Employer Contact | Simona Turco ([email protected]), HR Services ([email protected]) |
The MOMENTUM project, funded by the NWO Open Technology Programme, aims to develop nanobubble-enhanced ultrasound imaging for cancer diagnostics, specifically focusing on prostate cancer. The project seeks to replace invasive prostate biopsies with more accurate, non-invasive ultrasound imaging. The PhD candidate will develop modeling and signal analysis methods to turn nanobubble ultrasound imaging into a quantitative diagnostic tool. This involves working with imaging data from lab-grown vascular models to create pharmacokinetic and spatiotemporal models that describe nanobubble movement through and beyond the microvasculature. The resulting parameters will serve as candidate biomarkers for tumor angiogenesis. The project combines microfluidics, bubble physics, and ultrasound signal processing, involving collaboration with the University of Twente and industrial/clinical partners.
This position is suitable for motivated PhD candidates with a master's degree in Electrical Engineering, Biomedical Engineering, Applied Physics, or a related field. Ideal candidates will have a strong background in signal processing, statistical or kinetic modeling, and quantitative data analysis, along with proficiency in MATLAB and Python. A research-oriented attitude, analytical thinking, problem-solving skills, and an interest in medical ultrasound imaging and cancer diagnostics are essential. The role requires the ability to work in an interdisciplinary team and collaborate with industrial and clinical partners.
Eindhoven University of Technology (TU/e) is a dynamic and ambitious university with an interdisciplinary setting and an international network. It is located on a beautiful green campus within walking distance of the central train station. TU/e offers a supportive environment for scientific researchers, with high-quality training programs and excellent technical infrastructure. It also provides various benefits for employees, including pension schemes, leave options, and support for international candidates.
The main goal of the MOMENTUM project is to develop nanobubble-enhanced ultrasound imaging for cancer diagnostics, specifically to replace painful prostate biopsies with smarter, non-invasive methods.
Proficiency in programming languages such as MATLAB and Python is required.
The employment contract is full-time for four years, with an intermediate assessment after nine months.
Yes, the PhD candidate will spend a minimum of 10% of their four-year employment on teaching tasks, with a maximum of 15% per year.
The monthly gross base salary ranges from €3,204 to €4,051 for full-time employment, in accordance with the Collective Labour Agreement for Dutch Universities.
Yes, international candidates can benefit from a Staff Immigration Team and a tax compensation scheme known as the Expat Scheme.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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