Job Information
- Organisation/Company
- University Medical Center Utrecht (UMC Utrecht)
- Research Field
- Medical sciences
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Not Applicable
- Hours Per Week
- 36.0
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Oral squamous cell carcinoma (OSCC) is a rare cancer that affects the mouth and throat, with outcomes largely dependent on whether the cancer has spread to the lymph nodes. Your goal will be to create a fully automated decision support system that utilizes MRI and clinical data to predict subtle signs of disease in the lymph nodes without invasive procedures. This system will provide doctors and patients with the best treatment strategy while minimizing severe side effects. Advanced Artificial Intelligence techniques will be applied to integrate MRI and clinical features, with Explainable Artificial Intelligence techniques to provide insight into the reasoning of the system.
The project is funded by the Hanarth Foundation and is a collaboration between the Image Sciences Institute, the Head-and-neck surgical oncology, Radiology, and Radiotherapy departments of the UMC Utrecht, as well as seven other Head-and-neck oncology treatment centers in the Netherlands.
If you are a creative problem solver with a multidisciplinary mindset and enjoy working outside the box, we want you! Successful completion of your tasks will result in obtaining your PhD degree.
Requirements
You hold an MSc degree in biomedical image sciences, physics, or other exact sciences, with experience in (medical) image processing and computer programming, preferably Python. Knowledge of pattern recognition, machine learning, and multivariable statistics is an asset.
Additional Information
The maximum salary for this position (36 - 36 hours) is € 3.536,00 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).
Contact our colleague:
Kenneth Gilhuijs
088 75 531 71
K.G.A.Gilhuijs@umcutrecht.nl
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- UMC Utrecht
- Country
- Netherlands
- City
- Utrecht
- Postal Code
- 3584CX
- Street
- Heidelberglaan 100
Where to apply
- Website
Contact
- City
- Utrecht
- Website
- Street
- Heidelberglaan 100
- Postal Code
- 3584 CX