Student for Preparing for an AI-Powered Future

Do you want to shape the future of care for patients on chronic ventilation with AI? Help us predict outcomes, personalize care, and build a scalable data infrastructure that prepares the Center for Home Mechanical Ventilation for tomorrow.

What will you do?

You will contribute to the design and realization of a future proof data platform for our department. The goal is to create a secure, scalable, and well structured environment that integrates different data sources and enables advanced data analysis and AI applications in healthcare.

What is this research about?

The Center for Home Mechanical Ventilation in Groningen is a subdepartment of the department for Pulmonary Diseases in the UMCG. It is one of the four centers in the Netherlands that supports and guides people who require long-term chronic ventilation at home. The aim is to provide patients with the best possible quality of life with the help of mechanical ventilation.

At the Center for Home Mechanical Ventilation in Groningen, we support more than 1,300 patients with diverse underlying diseases who rely on mechanical ventilation at home. During daily treatment, extensive high-frequency data are generated, particularly from ventilators, which patients typically use for around eight hours per day. This has resulted in a rapidly growing volume of rich longitudinal data with high potential clinical and research value. However, this data has historically been collected primarily for clinical monitoring rather than secondary use. As a result, it is fragmented across systems, lacks standardized structure, and is not centrally stored in a secure, research-ready database. These logistical and infrastructural limitations prevent us from fully leveraging the data for advanced analytics and AI applications. Because of this, valuable opportunities are currently missed, such as personalizing ventilation settings based on real-time data, reducing unnecessary outpatient visits, and predicting outcomes like exacerbations or hospital readmissions. To innovate care and prepare for future AI-driven applications, integration of all relevant data into a secure, scalable infrastructure is essential but currently lacking.

What do we ask?

• A relevant applied sciences (HBO) or university (WO) education
• Strong social and communication skills, which you use appropriately depending on the situation
• Creativity and fresh ideas, even within set frameworks
• Affinity with data analytics and AI
• Interest in innovating healthcare
• Strong written communication skills
• Ambition and eagerness to learn new things
• Enjoy working together and motivating others

What we offer

• Internship agreement with UMCG
• Good supervision at UMCG
• Scientific working environment
• In consultation, you can partly work from home.