PhD in Scientific Machine Learning: Exciting opportunity for a passionate individual interested in the intersection of science and machine learning applied to healthcare, specifically in electrocardiography (ECG) analysis.
PhD Scholarship Opportunity in Scientific Machine Learning for Medicine
Position Details:
| Designation | PhD Student SciML4Medicine |
|---|---|
| Location | UMC Utrecht, Netherlands |
| Salary Range | €3,017 – €3,824 per month (based on full-time 36 hours) |
| Experience Level | Junior (0-3 years experience) |
| Closing Date | 29th October 2024 |
Research Area:
The PhD student will focus on the following areas:
- Creation of an up-to-date overview of published Scientific Machine Learning (SciML) work in medicine.
- Utilization of machine learning techniques to enhance ECG-analysis and tackle long-standing problems.
- Development of AI models for synthetic ECGs incorporating electrophysiological knowledge.
- Construction of robust deep learning models for clinically relevant tasks leveraging ECG-domain expertise.
Eligibility/Qualification:
- Must possess a Master’s degree in applied mathematics, computer science, AI, signal analysis, or a related technical discipline.
- Demonstrated curiosity, creativity, and perseverance towards complex projects.
- Proficiency in scientific programming (e.g., Python, Julia, or R).
- Preferred experience with ECGs or other medical signal analysis.
- Strong communication skills in English.
- Ability to work collaboratively in an interdisciplinary environment.
Job Description:
The successful candidate will collaborate with a diverse team of researchers at the Julius Center, working closely with experts from the cardiology department. Responsibilities include:
- Contributing to innovative research in the field of Scientific Machine Learning for Medicine.
- Developing and implementing AI models for ECG analysis.
- Collaborating with industry partners and academic experts.
- Contributing to the advancement of ECG-AI models for clinical use cases.
How to apply:
For further inquiries or to apply for this position, please contact:
Maarten Van Smeden at 06 42 55 27 55 or via email at maarten.vansmeden@umcutrecht.nl.
Last Date for Applications: 29th October 2024
This scholarship opportunity offers a unique chance to delve into the cutting-edge research of Scientific Machine Learning for Medicine at UMC Utrecht. If you meet the qualifications and are enthusiastic about this field of study, we encourage you to apply before the deadline.
