- 36 hours a week
- 3 years
- Date of publication: 16 July 2020
- Deadline: 1 September 2020
- Scale 10A/10
Job descriptionThe PhD candidate will work at DIAG and at MAGIC. DIAG currently has 50 deep learning researchers focused on various medical image analysis topics. The focus of DIAG is the development and validation of novel methods in a broad range of medical imaging applications. Research topics include image analysis, image segmentation, machine learning, and the design of decision support systems. Application areas include neuro, breast, prostate, lung and retina imaging and digital pathology. Key to the success of the group is close cooperation with clinicians. A team of scientific programmers is supporting our deep learning research, maintaining a large cluster of computers equipped with high-end GPUs for large-scale experimentation.
One million men receive a prostate cancer diagnosis, and three hundred thousand die from prostate cancer each year worldwide. Magnetic Resonance Imaging (MRI) represents a major breakthrough by accurately detecting clinically significant prostate cancers at an early, potentially more curable stage. The same MRI can also be used for better treatment targeting and for avoiding unnecessary systematic biopsies. As a result, the demand for Prostate MRI is rapidly increasing. Unfortunately, reading these multiparametric MRI (mpMRI) exams is difficult and requires substantial expertise. Computers can potentially extract more information from mpMRI, more reliably, and more accurately than human readers. Artificial Intelligence and more specifically Deep Learning is becoming indispensable in helping improve mpMRI diagnostic performance.
This EU funded project aims to research deep learning computer-aided diagnostic (DL-CAD) that will demonstrably help clinicians to get the best possible prostate cancer diagnosis from mpMRI. Radboudumc is a clinical expert on prostate MRI and technical expert in the field of prostate AI technology for over 20 years and an early adopter of deep learning in medical imaging. This project is a continuation of previous research in which CAD achieves expert performance in evaluating single time point mpMRI. In this project we will focus on surveillance mpMRI that has the potential to further reduce unnecessary biopsies and reduce over-treatment. For this project we are seeking a PhD candidate.
ProfileA creative and enthusiastic researcher with an excellent MSc degree in a relevant field, such as biomedical technology, technical medicine or medicine. The ambition and academic skills to write and present scientific papers. Experience in implementing medical image analysis algorithms and a strong affinity with medical topics.
OrganizationThe Minimally Invasive Image-Guided Intervention Center (MAGIC) has its roots in MRI-guided prostate treatment, and we have expanded to CT-, US-, and MR- image guided oncologic interventions, as for example biopsy of prostate, bone and liver; (non-) thermal ablations of pancreas, liver, kidney, prostate and vascular malformations. Supplementary we focus on nuclear interventions with Holmium particles; intra-operative navigation; robotics; ex-vivo imaging; clinical decision support; and perfusion and vascular interventions. The interventions are developed and performed in close collaboration with the Medical Innovation and Technology expert Center (MITeC).
The Diagnostic Image Analysis Group (DIAG) and Minimally Invasive Image-Guided Intervention Center (MAGIC) are research divisions of the Department of Imaging of the Radboud University Medical Center Nijmegen. Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud UMC is a leading academic center for medical science, education, and healthcare with over 8,500 staff and 3,000 students.
The research is carried out in strong collaboration with radiologists at the department of Radiology and EU partners (AI specialists and expert clinicians) in the EU project.
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).
Read what it is like to do a PhD at the Radboud University Medical Center.
Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy.
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Employment conditionsThe salary depends on education. Scale 10 will be offered to MSc medical graduates; those holding degrees in other disciplines will be offered scale 10A.
Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center’s HR Department will apply for this certificate on your behalf.
Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.
Comments and contact informationIn your application, please include a motivational letter, your cv, a list of grades, links to publications and your Master thesis or other works you have written in English.
All additional information about the vacancy can be obtained from Prof. Jurgen Fütterer, professor Radiology and Nuclear Medicine. Use the Apply button to submit your application.
Please apply before 1 September 2020.
Recruitment agencies are asked not to respond to this job posting.
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