PhD Position on AI Methodology: The Julius Center at UMC Utrecht is inviting applications for a PhD position focused on developing AI methodologies to enhance predictions of patient outcomes based on multimodal organoid data. This position aims to make a significant impact in personalized medicine, especially for rare diseases like cystic fibrosis.
PhD Position on AI Methodology for Prediction of Patient Outcomes Using Organoid Models
Designation
PhD Candidate
Research Area
- Field: AI Methodology, Personalized Medicine, Patient Outcomes
- Focus: Data Science, Machine Learning, Organoid Models
Location
UMC Utrecht, Netherlands
Eligibility/Qualification
- MSc in Statistics, Applied Mathematics, Computer Science, AI, or a related technical discipline.
- Strong scientific curiosity, creativity, and perseverance in completing challenging projects.
- Interdisciplinary outlook with good communicative skills for collaboration in a multidisciplinary team.
- Experience with scientific programming in languages such as Python, Julia, or R.
- Proficiency in spoken and written English.
- Desire to develop further as an independent scientist.
Job Description
The PhD candidate will:
- Propose and evaluate new AI methodologies to improve predictions of patient outcomes using organoid data.
- Work on a real-world case study focusing on cystic fibrosis.
- Collaborate with a multidisciplinary team of experts in statistics, data science, epidemiology, and clinical research.
How to Apply
Interested candidates should submit their applications, including a CV and cover letter, directly through the UMC Utrecht job portal. For inquiries, contact Miriam Sturkenboom at 06-29243730 or via email.
Last Date to Apply
October 9, 2025
This scholarship presents a unique opportunity to contribute to cutting-edge research in the field of personalized medicine.
