PhD student AI in medical imaging for treatment decision support in Oncology

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PhD student AI in medical imaging for treatment decision support in Oncology

We offer a 4-year PhD position to develop and implement an automated system based on machine learning of Computed Tomography (CT) scans to help doctors decide which patients with testicular cancer require surgery after chemotherapy.

Deadline Published Vacancy ID 2025-5960

Academic fields

Health

Job types

PhD

Education level

University graduate

Weekly hours

36 hours per week

Salary indication

max. €3824 per month

Location

Heidelberglaan 100, 3584CX, Utrecht

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Job description

Our lab for Translational Cancer-Imaging leads multiple studies in which AI techniques are translated into decision support systems for precision care in Oncology. In short: how to get the right treatment to the right patient at the right time.

Your objective will be to research new AI techniques to analyze contrast-enhanced Computed Tomography (CT) images of patients with testicular cancer after chemotherapy in order to facilitate accurate triaging to surgery. This will result in interpretable and trustworthy Artificial Intelligence, deployed into a prototype decision support system for further testing in clinical environment.

The project – funded by Stichting Hanarth Fonds - is strongly multi-disciplinary with collaborations between the departments Image Sciences Institute, Medical Oncology, Urological Oncology and Radiology at UMC Utrecht. In addition, the project connects to other cancer centers in the Netherlands.

We are looking for a creative analytical person with a multidisciplinary mindset, who enjoys approaching problems from new perspectives, and who likes to contribute to solving socio-economic health challenges related to optimizing cancer treatment while minimizing patient side-effects. Upon completion of your research, you will obtain your PhD degree.

Requirements

  • You hold an MSc degree in physics, medical imaging, biomedical image sciences, or a related discipline within the science, technology, engineering, and mathematics (STEM) domain.
  • Experience in (medical) image processing, machine learning and Python coding are an asset.
  • Knowledge of pattern recognition and multivariable statistics is helpful.

Selection procedure
You can expect to hear from us about your application no later than July 1st.

Conditions of employment

The maximum salary for this position (36 - 36 hours) is € 3.824,00 gross per month based on full-time employment.

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

Department

This research will be conducted at the Image Sciences Institute, housed within the Imaging and Oncology Division of the University Medical Center Utrecht. The division is internationally recognized for its research on image acquisition, image analysis, artificial intelligence, and image-guided interventions, and has one of the largest concentrations of medical imaging researchers in Europe. You will work alongside staff from medical oncology, urological oncology, medical-image analysis, radiology, as well as a team of PhD students working on various other systems. For more information, visit www.isi.uu.nl and www.imago.uu.nl.

Werken bij UMC Utrecht

Werken in het UMC Utrecht betekent werken op het snijvlak van onderzoek, onderwijs, zorg en techniek. In onze academische setting leren en innoveren we continu en zijn nieuwe ontwikkelingen altijd binnen handbereik.

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