Are you interested in the cross-section of science and machine learning applied to heatlth care? Join the Data Science Methods lab at the UMC Utrecht and collaborate on cutting edge research for electrocardiography (ECG) analysis.
This PhD position is part of the SciML4Medicine project, funded by Health Holland and co-funded by industrial partners. SciML4Medicine brings together experts in `convential’ ECG analysis and in machine learning and aims to yield both novel insights relevant to electrocardiography, and produce ECG-AI models for clinical use cases that are more robust and efficient by grounding the AI models in cardioelectrophysiology.

The PhD student will:

• Create up to date overview of published SciML work in medicine.
• Improve long standing problems in ECG-analysis (forward problem and backward problem) with machine learning techniques.
• Build generate AI models for synthetic ECGs, exploiting electrophysiological knowledge.
• Develop robust and efficient deep learning models for clinically relevant tasks (e.g. medical diagnosis, prognosis predictions), levaraging ECG-domain knowledge.

You will work together in a diverse team of excellent researchers in the field Data Science at the Julius Center, collaborating closely with experts from the cardiology department.

SciML4Health background:
Electrocardiograms (ECGs) are a cornerstone of cardiologic practice. The current approach to analyzing ECGs relies on bespoke mathematical models. Now AI methods are revolutionizing health care, but these AI models are data-hungry. SciML4Medicine brings out the best of both worlds by designing AI models informed by mathematical models of ECGs.

• MSc in applied mathematics, computer science, AI, signal analysis, or a related technical discipline.
• Scientific curiousity, creativity, perseverance in completing challenging projects and an interdisciplinary outlook.
• Demonstrable experience with scientific programming, e.g. in python, julia or R.
• Experience with ECGs or other medical signal analysis is preferred.
• Proficient in spoken and written English.
• Ability to work in an interdisciplinary environment, including industrial partners.
• Desire to develop further as an independent scientist.

The maximum salary for this position (36 - 36 hours) is € 3.824,00 gross per month based on full-time employment.

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

The Data Science Methods department at the Julius Center is a growing group of researchers working on methods and applications of AI in health care. This project is a close collaboration with the cardiology department of the UMC Utrecht. Industry partners are involved and will contribute expertise and data.

Contact our colleague:
Maarten van Smeden
06 42 55 27 55
m.vansmeden@umcutrecht.nl