We are looking for two highly motivated and talented PhD candidates. You will be part of one of the 17 new ICAI labs, HealthyAI, consisting of 5 PhD students who will collaborate on exploring AI solutions for prostate oncology. Will you join our ambitious team?

HealthyAI is a multi-disciplinary collaboration between Radboudumc, University Medical Center Groningen, Technical University Twente, and Siemens Healthineers to create world-leading AI for healthcare. HealthyAI is unique as it is the first to explore continuous multi-center data collection and quality managed AI as an ever-improving learning healthcare solution focusing on prostate cancer diagnosis.

Currently, two positions are available in Radboudumc.

• The first position is focused on Reinforcement Learning (RL) and aims to design, train, and evaluate an "ethical AI" roadmap, which will render RL suitable for use in clinical routines. We aim to render RL suitable for use in clinical routines, by exploring AI algorithms that are transparent and explainable. The sequences of clinical decisions for individual patients should improve long-term health outcomes. Clinical data is available in an open-source database of pathway data, such as MIMIC IV, and the continuously collected clinical pathway data at Radboudumc and UMCG.
• The second position focuses on AI to assist the MRI operator in making timely decisions for better results, e.g., by automatically detecting a patient's breath-hold capability, implant status, the presence or absence of motion, and providing the operator with recommendations for patient-tailored strategies. We aim to integrate AI to render MRI smarter and more efficient.

DIAG has more vacancies that might interest you. You’re welcome to respond to these. Or show interest, as well. Indicate this in your application letter.

Tasks and responsibilities

• Investigate AI algorithms and collect data that support the continuous interpretation of healthcare data and MRI, in particular.
• Collaborate with a multidisciplinary team to translate cutting-edge technology into sustainable, quality-managed clinical practice.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Mentor junior team members, students and assist in teaching.
• Support ongoing local, national and international collaboration with clinicians, clinical centers.
• Help set up and maintain the learning healthcare system on GrandChallenge.org, which runs on AWS.

We are seeking two highly motivated candidates with an MSc degree in Computer Science, Physics, Engineering, Biomedical Sciences, or a related field to join our team. The ideal candidate will possess the skills and expertise to train and develop deep-learning artificial intelligence algorithms, as well as strong academic writing and presentation abilities. In addition, a clear understanding of MRI is required for the second position. The successful candidate will thrive in a collaborative, multidisciplinary team environment.

Fixed-term contract: 4 years.

Preferred starting date is September 2023. Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And 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.

• A gross monthly salary between € 2.789 and € 3.536 (scale 10A) based on full-time employment.
• From 1 November 2023 the wages will increase by 4%.
• An annual vacation allowance of 8% and 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.

Radboudumc

HealthyAI is part of the 10-year LTP ROBUST program “Trustworthy AI-based Systems for Sustainable Growth” consortium, which unites 17 knowledge institutions, 19 participating industry sponsors and 15 civil-social organizations from across the Netherlands. You will gain valuable experience working with an industry partner. You can tap into a wealth of networking, career development, and training opportunities with ICAI, the Innovation Center for Artificial Intelligence. The two HealthyAI PhDs will work within the lab of prof Huisman at DIAG, an internationally recognized medical imaging AI lab. You will have access to DIAGs’ enormous data and computing facilities and collaborate with over 50 Ph.D. students on state-of-the-art deep learning technology. The Huisman lab focuses on abdominal MRI and ultrasound in prostate and pancreatic cancer diagnosis and intervention.

HealthyAI Lab aims to develop trustworthy, robust AI with a primary application for prostate cancer diagnosis with MRI. Prostate cancer affects up to 1 in 9 men. Recent developments in prostate MRI make non-invasive detection feasible. This avoids biopsies and allows for earlier detection at a more curable stage. However, the rapidly increasing workload and high level of expertise are a huge concern. AI can exploit MRI to its full potential to maximize the impact on quality of care, reduce healthcare costs, and reallocate time from routine decision-making to human-centric care. Healthy-AI combines the clinical knowledge institutes Radboudumc, UMCG and the technical expertise in the University of Twente with the practical knowledge of industrial partner Siemens Healthineers. Its mission is to explore novel AI technology and ethical challenges to achieve trustworthy AI.

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 health and 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