Do you want to use machine learning to improve brain tumor imaging?
You will explore whether MRI diagnostics in brain tumor (glioma) patients can be performed without using the commonly used contrast agent gadolinium but instead using novel MRI techniques or AI. Gadolinium use helps identifying malignant tumor parts but may cause adverse health effects and involves (repeated) injections. The project contributes to the National effort to minimize gadolinium in clinical MRI.
Nearly all patients with a glioma diagnosis undergo regular MRI scans with gadolinium, which has two problems.
Firstly, it is unclear whether gadolinium is essential for correctly predicting MRI diagnosis or identifying tumor progression. Several new MRI techniques may deliver equivalent insights into tumor biology, e.g., arterial spin labeling (ASL) and chemical exchange saturation transfer imaging (CEST). As an alternative, AI-based models using only MRI scans without gadolinium may facilitate the transition to gadolinium-minimized glioma imaging.
Secondly, many patients with long-term stable tumors without gadolinium enhancement still receive gadolinium-based follow-up. AI-supported solutions using both MRI and non-imaging predictors should determine who might be eligible for scans without gadolinium or longer scan intervals.
This is your challenge!
We are looking for a Ph.D. candidate who has the ambition to improve care for patients with brain cancer by developing and implementing new MRI techniques and AI-based applications. We bring extensive data and plan to acquire more.
Our candidate brings the following qualities:
- Master’s degree in medicine, computational (neuro)science, biomedical science or technical medicine/clinical technology or equivalent;
- Familiar with image processing and analysis methodology;
- Experience with or familiar with machine learning and deep learning – understand the basics for training, cross-validation, and testing AI methods;
- Empathetic interaction with patients;
- Less than 4 years working experience since receiving the Master’s degree;
- Excellent communication and collaboration skills;
- Willing to work and live in or near Amsterdam;
- Easily fluent in Academic English (written and verbal).
Your work environment
As a Ph.D. student, you will be working within an interdisciplinary research team consisting of radiologists, image processing experts, clinical physicists, and neurosurgeons. The 4-year project aims to improve the safety and quality of life for brain tumor patients.
You will be hosted at the Amsterdam UMC, location VUMC, department of Radiology and Nuclear Medicine. The department is a specialized medical imaging center with an Internationally operating diagnostic neuroimaging group. Our research is embedded within the research school of the Cancer Centre Amsterdam (CCA).
Working at Amsterdam UMC means working in an inspiring and professional environment where developing one`s talents and academic skills are encouraged. We offer you ample opportunity for development, deepening and broadening, additional training, and a place to grow!
Salary Scale PHD: 2495 tot 3196 euro gross when employed full-time (depending on qualifications and experience).
The monthly wage will increase yearly to the maximum salary in the fourth year of 3,196 € gross per month.
In addition, we offer:
– Additional benefits include an 8.3% end-of-year bonus and 8.0% holiday pay.
– The opportunity to follow further training and development.
– Pension is accrued at the ABP. VUmc contributes a large part of the premium (70%).
– In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs).
We offer an initial contract for 12 months that will be extended (after evaluation) for another 36 months.
For more information about our employment conditions, please visit our website.
For Dutch citizens it is mandatory to provide a VOG (Verklaring Omtrent Gedrag). Foreign citizens need to provide comparable police clearing certificates.
The first interviews are scheduled for the first and second week of August 2021. We kindly ask you to take this into account.
Information and application
Don’t hesitate to call us!
If you’re interested about this position, you can contact dr. Vera Keil, via telephone number +31 650087729.
If you need more information about the application procedure, contact Brend de Jong, corporate recruiter at 020 444 8704.
You can apply till 11 July 2021 by using the apply button.
Acquisition based on this vacancy is not appreciated.