Postdoc - machine learning for medical imaging in Oncology and Hematology

You cannot apply for this job anymore (deadline was 7 Nov ’24)

Please note: You cannot apply for this job anymore (deadline was 7 Nov ’24). Browse the current job offers or choose an item in the top navigation above.

Postdoc - machine learning for medical imaging in Oncology and Hematology

A 3-year post-doc research position on machine learning for medical imaging to explore and prototype new AI techniques for precision care, to provide support to PhD students, and to deploy research results for testing in a clinical environment.

Deadline Published on Vacancy ID 2024-5245

Academic fields

Health

Job types

Postdoc; Research, development, innovation

Education level

Doctorate

Weekly hours

36 hours per week

Salary indication

max. €5504 per month

Location

Heidelberglaan 100, 3584CX, Utrecht

View on Google Maps

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 and Hematology. In short: how to get the right treatment to the right patient at the right time.

Your objective will be to explore new AI techniques to analyze CT, MRI, and PET/CT images for this goal, translate Explainable Artificial Intelligence approaches into trustworthy applications that provide insight into the reasoning of these systems, provide machine-learning support to PhD students across several research projects, and to deploy promising research results into prototype applications that allow further testing in a clinical environment.

Projects are strongly multi-disciplinary with collaborations between the Image Sciences Institute, Radiology and Nuclear medicine, Hematology, Surgery and Medical Oncology at the UMC Utrecht. In addition, projects connect to multiple other cancer centers throughout the Netherlands.

Requirements

  • You hold a PhD degree in physics, medical imaging, biomedical image sciences, or a related discipline within the science, technology, engineering, and mathematics (STEM) domain, with experience in (medical) image processing, machine learning and coding, preferably in Python.
  • Knowledge of pattern recognition and multivariable statistics is an asset, as well as affinity in algorithm deployment.
  • You are a creative analytical person with a multidisciplinary mindset, who enjoys approaching problems from new perspectives.
  • You like to contribute to solving socio-economic challenges related to optimizing cancer treatment while minimizing side-effects and keeping our health care affordable.

Conditions of employment

The maximum salary for this position (36 - 36 hours) is € 5.504,00 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-image analysis, radiologists, hematologists, surgeons and medical oncologists as well as a team of PhD students.

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.

Lees meer over UMCU