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Apply by: 2024-06-13

Postdoc 'Multimodal AI for Urologic Cancer'

Published 2024-05-15

JOB DESCRIPTION

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.

REQUIREMENTS

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.

CONDITIONS OF EMPLOYMENT

Fixed-term contract: 2 years.

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% vacation allowance, an 8.3% end-of-year bonus, and, depending on the position, an allowance of 47% to 72% for working irregular hours.
  • Plenty of opportunities to develop yourself. For example, you can follow various courses via our online learning environment. A lot of attention will also be paid to your wellbeing and vitality. For instance, you can take advantage of:
    • 40% discount on gym membership at the Radboud Sports Center.
    • the Company Support Team and a personal coach if you experience a life-changing event.
    • a financially favorable option to work less through a generation scheme if you are approaching state retirement age.
    • support with achieving a good work-life balance at every stage of your life. This includes advice and training (from ‘Millennial Dilemmas’ to ‘Your Career After 57’), activities at our own mindfulness center, and informal caregiving consultations if you have any questions about combining your work and caregiving tasks at home.
  • 168 vacation hours per year based on a 36-hour working week. Want more vacation? You can buy additional vacation hours with your end-of-year bonus.
  • 26 weeks of parental leave, of which 9 weeks are paid.
  • Extra-favorable leave conditions. For example, our short-term caregiving leave is not 2 but 4 weeks per year and even 12 weeks per year for partner and child.
  • Pension accrual with the ABP Pension Fund. Radboud university medical center pays 70% of the pension contribution.
  • Discount on the supplementary packages of two collective health insurance policies and on ten other types of insurance, from home insurance to legal assistance.
  • travel allowance via our Employment Conditions Selection Model and a working-from-home allowance of € 2,35 per day.

EMPLOYER

Radboudumc

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.

ADDITIONAL INFORMATION

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.