Postdoc 'Multimodal AI for Urologic Cancer'

Help us to develop and prospectively validate multimodal, AI-based decision support tools to improve detection, diagnosis and prognosis of patients with prostate cancer (PCa) and kidney cancer (KC). You will be part of the European project Computational Models for patient stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care, COMFORT. Will you join our mission?

Prostate cancer (PCa) and kidney cancer (KC) are among the most prevalent cancers. Europe sees some of the highest incidence rates of KC for both men and women in the world, whereas PCa accounted for approximately 23 % of all new cancer cases diagnosed in men in European Union countries in 2020. These cancers have a significant impact on the health and quality of life of those affected and place an increasing burden on our healthcare system, with costs exceeding EUR 12 billion each year.

Modern medicine generates a tremendous amount of structured and unstructured data (such as electronic health records, biomarkers, and complex medical imaging) that surpasses human analytical abilities, resulting in inaccurate diagnoses and ineffective treatments. Efficiently leveraging health data can reduce these burdens, but current clinical methods fall short in utilising the wealth of available data.

To address these challenges, the newly launched COMFORT research project is developing a cutting-edge decision support system. The innovative tool will use artificial intelligence (AI) and data-driven insights to assist medical professionals in delivering improved care for people affected by PCa or KC.

The goal of this postdoc project is to create AI-based models for PCa and KC which incorporate multi-modal complex health data from multiple sources such as image data, laboratory examinations, and unstructured medical reports.

Tasks and responsibilities

• Conduct research in the development of multimodal AI for urologic cancer.
• Collaborate with a multidisciplinary team of the COMFORT consortium.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Mentor junior team members and contribute to the development of the lab's research direction.

Our ideal new postdoc is a creative and enthusiastic researcher with an PhD degree in a relevant field, such as medical image analysis, computer vision, or machine learning. You have a clear interest to develop artificial intelligence algorithms and an affinity with healthcare.

In addition you possess the profile below:

• have good communication skills and enjoy working in a multidisciplinary team.
• have expertise in software development, preferably in Python.
• having experience with deep learning, machine learning, and image analysis.

At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:

• A gross monthly salary of between € 3.493 and € 5.504 (scale 10) for full-time employment (36 hours per week).
• You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and a 47% to 72% bonus for working unsocial hours.
• 172 vacation hours per year based on a 36-hour working week. (As of 1 January 2025, you will receive 176 vacation hours.)
• An Employment Conditions Selection Model, allowing you to use part of your employment conditions to your choosing. For example, you can use your gross salary to purchase additional vacation hours or hours for providing informal caregiving. Or, for example, you can use your gross end-of-year bonus to purchase a bicycle, so you pay less tax.
• Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment.
• Your well-being and vitality are a priority. For example:
  
  • Save time for work-life balance leave.
  • A 40% discount on a sports membership of the Radboud Sports Center.
  • Healthy Professionals program to help you manage your energy.
  • Company Support Team and a personal coach if you are going through a life-changing event.
  • Financially beneficial working less through a Generation Scheme as you approach state pension age.
• Support in achieving a good work-life balance at every stage of your life. Examples:
  
  • Advice and courses on, for example, 'Millennial dilemmas' and 'Your Career After 57'.
  • Activities at our own mindfulness center.
  • Informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
• In addition to statutory pregnancy and maternity leave, Radboud university medical center offers 26 weeks of parental leave, nine of which are paid. In addition, as a partner you can take a maximum of five weeks of supplementary partner leave. During supplementary partner leave and parental leave, we supplement the UWV benefit up to 100% of your salary.
• Pension accrual at the ABP Pension Fund. Radboud university medical center pays 70% of the pension premium.
• Discounts on supplementary packages of two group health insurances and ten other types of insurance, from home insurance to legal assistance.
• As of 1 October 2024: an allowance for your commuting costs of € 0.18 per km up to a maximum of 40 km one way. If you use public transport to commute, we will fully reimburse the public transport costs (2nd class). If you regularly work from home, you will receive a working from home allowance of € 2.35 per day.

You will work in the Diagnostic Image Analysis Group. DIAG is part of the Departments of Imaging, Pathology, Ophthalmology, and Radiation Oncology of Radboud University Medical Center. We develop, validate and deploy novel medical image analysis methods, usually based on deep learning technology.

Radboudumc
Welcome to Radboud university medical center (Radboudumc), where our research groups strive for innovative solutions that make impact on health and healthcare. We challenge the status quo to overcome current and future health challenges. Our goal is to shape the future of healthcare for generations to come. Our focus is on prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our approach is centered on breakthroughs that can truly enhance personalized healthcare and public health.

At Radboudumc, a comprehensive range of research programs provide the compass for our research efforts. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our research programs have significant impact on health and healthcare. We invite you to join us in our mission to create a healthy future for all.

Any questions? Or wondering what it is like to work at Radboudumc? Then email to dr. Alessa Hering, senior researcher. Use the Apply button to submit your application.