Master’s Thesis Student AI/ML Methods in Primary Care Data

Erasmus MC; Rotterdam; On-site; EUR 5,000 - 6,100; Full time

Job summary

Erasmus MC in Rotterdam seeks Master’s students for a graduation internship in the Department of Medical Informatics and the DARWIN EU Coordination Centre. You will develop AI/ML methods using Dutch primary care data while receiving regular guidance from a dedicated supervisor.

The position lasts about six months, with a gross internship allowance of €500 based on a 36-hour workweek. Start date to be determined in consultation with the student.

Qualifications

• 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.

Responsibilities

• Internship for approximately 6 months conducting a graduation project within the department.
• Work on real-world healthcare challenges using AI/ML methods with real-world data.
• Regular meetings and guidance from a dedicated supervisor.

Job description

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.

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

Do you have questions about the role? Feel free to reach out to Ilse Schuemie via mail (mailto:[e-mail]).

The first interviews are scheduled for early December.