Open Application Graduation Internship

• Education Level: Higher Professional Education (HBO) / University (WO)

• Hours: 40 hours per week

• Locations: Amsterdam, Heerenveen, Hoogeveen

Are you enthusiastic about programming? Do you already work on your own projects at home, or do you enjoy trying out new technologies? Then we have a spot for you! For our branches, we are looking for motivated interns with a passion for technology.

Why Intern with Us in Heerenveen, Hoogeveen, or Amsterdam?

• Work at a location with deep technical expertise, many experienced developers, and 15+ years of experience in mentoring interns.

• Get the opportunity to collaborate with experienced developers on solutions that make a real difference.

• Dive into topics such as software engineering, algorithms, data analysis, and technical modeling.

• Enjoy plenty of room for personal initiative and technical creativity.

• Opportunity for career progression into a permanent job.

Examples of Completed Projects

HiX PromptHub – Centralized AI Prompting & Management

For this project, a centralized Prompting module was developed within HiX, making Large Language Models available for medical workflows in a secure and manageable way.

Prompts can be centrally maintained and enriched with data from patient medical records. The prompts are easily accessible by other HiX features through a standardized API, allowing seamless integration throughout various parts of HiX.

Once deployed, all prompt calls and generated results are automatically logged to display usage statistics and user ratings per prompt version. Finally, an extra pre-processing layer was added to handle prompt formatting and anonymize confidential data.

Smart Work Distributor for Radiologists

Radiologists process dozens of imaging studies daily, but the workload varies significantly by study type. An intern interviewed radiologists and developed an engine that automatically ensures a fair workload distribution based on complexity and available information.

The solution was built fully modular using a test-driven development approach and the flow factory design pattern. This tool helps radiologists work more efficiently and fairly, directly impacting their daily practice.

Room Scheduling with Ant Colony Optimization

For this assignment, a proof-of-concept mathematical optimization model based on Ant Colony Optimization was developed to automatically generate room allocations within rehabilitation clinics.

The solution accounts for practitioner availability, required facilities, and capacity constraints, replacing error-prone manual planning. By leveraging historical data and decision science techniques, a more efficient and reliable scheduling process was achieved and integrated into the existing HiX environment.

Technologies Used

• C#

• Blazor

• Git

• SQL

Candidate Profile

Students in Computer Science / Information Technology, Applied Mathematics, or Data Science.

What We Offer

• A generous allowance with prospects of a permanent position.

• A comprehensive introduction to a wide range of methods and development tools in healthcare IT and our programming/data environment.

Ready to Take on This Challenge?

Send your motivation and/or ideas to werken@chipsoft.nl.

Do you have a fun or innovative graduation project idea of your own? Feel free to reach out!