Turn real world primary care data into smarter healthcare. Build novel AI and ML methods for your Master’s thesis at Erasmus MC, guided by a dedicated supervisor and experienced researchers.
Description
Are you looking for an impactful project for your Master's thesis? We offer opportunities for Master's students to conduct their graduation project within our department.
The projects mainly focus on developing novel AI/ML methods using data from Dutch primary care. Example projects can be provided to give you an impression of the research opportunities.
You will work on real-world healthcare challenges using a large primary care database, with regular meetings and guidance from a dedicated supervisor.
Work environment
You will join the Department of Medical Informatics and the DARWIN EU Coordination Centre at Erasmus MC. Our research focuses on developing innovative AI/ML methods using real-world healthcare data, particularly data from Dutch primary care. You will work with experienced researchers and receive regular guidance throughout your thesis project.
Qualifications and skills
- Enrolled in a Master’s degree program with a strong quantitative background.
- Interested in healthcare, data science, artificial intelligence and machine learning.
- Interested in conducting research using real world health data.
- Motivated, eager to learn and able to take initiative.
- Good written and verbal communication skills in English.
Terms
- An internship for a period of approximately 6 months.
- The start date of this internship is to be determined in consultation with the student.
- You will receive a gross internship allowance of € 500,- based on a workweek of 36 hours.
- Regular meetings and guidance from a dedicated supervisor.
More information
Make this job your next career move! Apply now using the application button. It all starts with taking action.
Do you have questions about the role? Feel free to reach out to Ilse Schuemie via mail .
The first interviews are scheduled for early December.
Master’s Thesis Student AI/ML Methods in Primary Care Data in Rotterdam werkgever: Erasmus MC
Werken als orthodontieassistent in het Erasmus MC Sophia Kinderziekenhuis betekent deel uitmaken van een uniek team dat zich richt op hoogwaardige, kindvriendelijke zorg voor patiënten met complexe gebitsafwijkingen. Je krijgt de kans om je vaardigheden te ontwikkelen binnen een dynamische en multidisciplinaire omgeving, waar teamwork en samenwerking centraal staan. Met aantrekkelijke arbeidsvoorwaarden, zoals een goed salaris, reiskostenvergoeding en toegang tot sportfaciliteiten, biedt deze rol niet alleen een betekenisvolle carrière, maar ook een prettige werkcultuur die gericht is op groei en welzijn.
