Vacancies 98881-PhD-candidate-Deep-learning-diagnostic-and-interventional-prostate-MRI-reconstruction-and-stee

Will you be our new colleague?

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About the position

  • 36 hours per week
  • Temporary
  • 4 years
  • Salary scale 10A
  • min € 2495 - max € 3196 gross per month for full-time employment
  • Deadline: 2 July 2021

#weareradboudumc, what about you?


Job description

A new project called FastMRI aims to develop novel diagnostic reconstruction and steering technology. FastMRI will explore and validate novel deep learning algorithms that integrate available expert diagnostic algorithms combined with the exploration of dedicated MRI sequences. As a PhD...

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Job description

A new project called FastMRI aims to develop novel diagnostic reconstruction and steering technology. FastMRI will explore and validate novel deep learning algorithms that integrate available expert diagnostic algorithms combined with the exploration of dedicated MRI sequences. As a PhD candidate in the Diagnostic Image Analysis Group (DIAG) in Radboudumc you will focus on core research in Deep Learning algorithms for reconstruction and steering from raw k-space MRI data. Will you join us? 

One million men receive a diagnosis of prostate cancer, and three hundred thousand die from prostate cancer each year worldwide. Magnetic Resonance Imaging (MRI) is a current breakthrough in diagnosing and treating prostate cancer. MRI can detect clinically significant prostate cancers at an early, potentially more curable stage avoiding unnecessary biopsies. MRI can also guide minimally invasive interventions allowing for precise targeting of the tumor and fast recovery of the patient.

The speed of current MRI systems is a problem. Diagnostic multiparametric-MRI (mpMRI) examination of the prostate can be performed in approximately 40 minutes. An MRI-guided therapeutic intervention requires 1-2 hours. For healthcare to handle the increasing number of patients who require a diagnostic or interventional procedure, new technology is necessary to reduce scan time without compromising diagnostic or interventional image quality.

Recent research in Deep Learning reconstruction show feasibility in speeding up MRI, but at the risk of affecting diagnostic quality. Another novel option is to automatically steer MRI during an intervention. We believe that combining both approaches with our available expert diagnostic Deep Learning expertise can significantly speed up diagnostic and interventional MRI.

Partners involved in FastMRI are the UMCG, Radboudumc, and University of Twente. FastMRI is co-funded by Health~Holland, Top Sector Life Sciences & Health, in a public-private partnership with Siemens Healthineers. In total, five full-time PhDs will work on this project. This vacancy is for two PhD positions in Radboudumc in the Diagnostic Image Analysis Group (DIAG). 


Department

The Diagnostic Image Analysis Group ( DIAG ) is an internationally renowned group on deep learning for medical imaging. The DIAG PhDs will research deep learning models for reconstruction and steering in diagnosis and intervention. You will work in a large group of skilled deep learning...

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Department

The Diagnostic Image Analysis Group (DIAG) is an internationally renowned group on deep learning for medical imaging. The DIAG PhDs will research deep learning models for reconstruction and steering in diagnosis and intervention. You will work in a large group of skilled deep learning researchers in an agile, clinically targetted approach.

The PhDs will work at DIAG in strong collaboration with the other scientific and industrial partners in the FastMRI project. 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. Application areas include neuro, breast, prostate, lung , pancreas and retina imaging and digital pathology. The key to the success of DIAG is close cooperation with clinicians. A team of scientific programmers supports deep learning research, maintaining a large cluster of computers equipped with high-end GPUs for large-scale experimentation.

The Diagnostic Image Analysis Group is a research division of the Departments of Radiology and Nuclear Medicine and Pathology of the Radboud University Medical Center Nijmegen. 

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


Profile

As a PhD candidate you should be a highly motivated, creative, and enthusiastic researcher with an MSc degree in Computer Science, Data Science, Physics, Mathematics, Engineering, or related. You have a thorough theoretical understanding of deep learning and can adapt deep learning algorithms...

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Profile

As a PhD candidate you should be a highly motivated, creative, and enthusiastic researcher with an MSc degree in Computer Science, Data Science, Physics, Mathematics, Engineering, or related. You have a thorough theoretical understanding of deep learning and can adapt deep learning algorithms. You also have a good knowledge of image reconstruction and MRI.

The research should result in a PhD thesis, requiring you to have good communication skills to excel at presenting results at scientific meetings and in scientific journals.

Let's meet


Terms of employment

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. But there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At...

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Terms of employment

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. But 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.


Application procedure

We would like to receive your application before 2 July 2021. We will then contact you shortly. Your application must include a motivation letter that clearly explains your match to ALL aspects of the requested profile. Your letter is supplemented by a complete CV, summary grades, your code, and...

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Application procedure

We would like to receive your application before 2 July 2021. We will then contact you shortly. Your application must include a motivation letter that clearly explains your match to ALL aspects of the requested profile. Your letter is supplemented by a complete CV, summary grades, your code, and your publications.

What else can you expect?

When you begin employment, we will request a certificate of conduct (VOG) and, depending on the position, you may be screened. You do not need to do anything for this; we will inform you later. 
 
Radboud university medical center is an employer that welcomes everyone. Every colleague brings valuable experience, expertise, and creativity. We believe in the benefits of a diverse and inclusive organization. #weareradboudumc

Read more about our application procedure or take a look at the frequently asked questions
 
We are recruiting for this vacancy ourselves. We only accept applications directly from the applicants themselves, but intermediaries are welcome to share our vacancies in their networks.​


Contact

All additional information about the vacancy can be obtained from Prof. Jurgen Fütterer , full professor or from Dr. Henkjan Huisman , associate professor. Use the Apply button to submit your application.

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Contact

All additional information about the vacancy can be obtained from Prof. Jurgen Fütterer, full professor or from Dr. Henkjan Huisman, associate professor. Use the Apply button to submit your application.

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