PhD candidate ‘Improving care for prostate cancer patient through AI-driven radiology/pathology fusion’

PhD candidate ‘Improving care for prostate cancer patient through AI-driven radiology/pathology fusion’

Published Deadline Location
25 Oct 21 Nov Nijmegen

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Job description

We are looking for a PhD candidate to investigate 'Improving care for prostate cancer patient through AI-driven radiology/pathology fusion'. This project focusses on integration of histopathological and radiological images to improve our understanding of disease diagnosis and progression in prostate cancer. Will you join our team?

In medicine, different specialties tend to operate in silos, each with their own tools to best help patients. They seldom cross-pollinate, limiting cross-specialty learning, which could offer key insights to improve diagnostics, especially at the intersection of radiology (in vivo) and pathology (ex vivo). To fuse these two specialties, you will develop AI algorithms to perform 3D reconstruction of 2D histopathology images, spatially align them with ex vivo and in vivo MRI of the prostate and train generative adversarial models to transform one modality into the other. The project also has strong experimental and clinical components, including ex vivo MRI scanning of tissue and interactions with urologists, pathologists and radiologists.

The starting date for this position is 1 February 2022.

Specifications

Radboud University Medical Center (Radboudumc)

Requirements

We are looking for a creative and ambitious PhD candidate with good communication and organizational skills. It is important that you have a clear interest in artificial intelligence and medical image analysis.

Furthermore:
  • MSc degree in Computer Science, Data Science, Engineering, Technical Medicine, Biomedical Sciences or similar.
  • Experience with deep learning and programming, preferably in Python, are a plus and should be evident from the (online) courses you've followed, your publications, GitHub account, etc.

Conditions of employment

Fixed-term contract: 4 years.

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together. We provide annual courses, both professional and personal.
  • In addition to your monthly salary and an annual vacation allowance of 8%, you will receive an end-of-year bonus of 8.3%.
  • If you work irregular hours, you will receive an allowance.
  • As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
  • Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
  • You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the Cao UMC.

Employer

Radboudumc

The Computational Pathology Group is a research group of the department of Pathology of the Radboud University Medical Center (Radboudumc). We are also part of the cross-departmental Diagnostic Image Analysis Group (DIAG) at Radboudumc, with researchers in the departments of Radiology and Nuclear Medicine, Pathology and Ophthalmology.

We develop, validate and deploy novel medical image analysis methods, usually based on deep learning technology and focusing on computer-aided diagnosis (CAD). Application areas include diagnostics and prognostics of breast, colon, prostate and lung cancer. Our group is among the international front runners in the field, witnessed for instance by the highly successful Camelyon and Panda grand challenges which we organized.

Research Institutes
At the moment there are more than 1,300 PhD candidates at our medical hospital. This number includes PhD candidates on our pay roll as well as external candidates (those employed somewhere else but researching on our premises).
  • Radboud Institute for Health Sciences: ± 700
  • Radboud Institute for Molecular Life Sciences: ± 400
  • Donders Center for Medical Neurosciences: ± 200
Read what it is like to do a PhD at the Radboud University Medical Center.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc

Specifications

  • PhD
  • Health
  • max. 36 hours per week
  • €2495—€3196 per month
  • University graduate
  • 147943-P805724-1

Employer

Radboud University Medical Center (Radboudumc)

Learn more about this employer

Location

Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen

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