Barco
Barco designs technology that makes everyday life a little better. Seeing beyond the image, we develop sight, sound, and sharing solutions to help customers work together, share insights, and wow audiences. Healthcare is one of the key markets of Barco. For many years Barco has been contributing to improved healthcare by means of solutions in radiology, mammography, surgery, dermatology, dentistry, pathology etc.

Innovation in healthcare
The Barco Labs Healthcare team is constantly looking for new innovative solutions that push forward the state-of-the-art and can improve healthcare models. This group takes care of the entire innovation cycle: ideation and MVP definition, market evaluation and business case creation, R&D and clinical work for creation of proof of concepts and solutions, market and clinical / regulatory validation of the solutions, business model and business plan creation, up to commercial introduction and early pilot sales.

The task at hand
This internship will focus on developing a comprehensive tool for AI evaluation and monitoring, tailored to ensure continuous improvement of models, particularly in the healthcare domain where quality assurance (QA) is critical. The project will involve building an intelligent system that tracks model performance over time, with an emphasis on both overall metrics and subgroup-specific outcomes, ensuring equity and robustness across different patient demographics. The intern will create dashboards to visualize progress on key performance indicators (KPIs), allowing stakeholders to easily assess model efficacy. Additionally, the tool will incorporate features to automatically detect and identify performance degradations, either across the entire model or in specific subcases, helping healthcare teams quickly address any issues. This project is critical to ensuring that AI models deployed in clinical settings remain accurate, reliable, and safe.

Qualifications

• Generic software skills:
  • Proficiency in Python programming.
  • Familiarity with visualisation and efficient dashboarding technologies
  • Experience working with version control systems and containerization (e.g., Git and docker).
  • Basic understanding of working with data (e.g., pandas, data processing workflows).
  • Strong problem-solving and debugging skills.
  • Experience with image processing or computer vision is a plus
• And interest in at least one of these areas:
  • Machine learning, model evaluation, and validation.
  • Segmentation comparison.
  • Visualization technologies to easily and interactively show the current model performance in comparison with previous models.
• Fluent spoken and written communication in English

Furthermore, you should be a student in a technical discipline, eligible to work at our HQ in Kortrijk Belgium.