Internship - AI Innovation in Healthcare About BarcoBarco designs technology that makes everyday life a little better. In our Healthcare division, we develop cutting-edge solutions for radiology, mammography, surgery, dermatology, dentistry, pathology, and more. Our innovation team, Barco Labs Healthcare, drives the full cycle from ideation to clinical validation and commercial launch. Internship Overview We are offering an exciting internship opportunity for students passionate about artificial intelligence and its applications in healthcare. This internship is structured to allow candidates to explore one of several advanced AI projects, depending on their interests and skillset. All projects aim to push the boundaries of healthcare technology through innovative AI solutions. Possible Project TracksDuring the screening process, we’ll determine which of the following projects aligns best with your profile: Self-Supervised Learning & Foundation Models: Investigate how imbalanced healthcare data affects the training and performance of self-supervised and foundation models. Build a full pipeline from data handling to model evaluation. Generative AI with Stable Diffusion: Explore the use of stable diffusion methods to generate synthetic data for healthcare applications. Assess how these augmentations impact model training and performance. AI Inferencing Pipeline Optimization: Design and optimize a real-time AI inference framework for streaming healthcare data. Tackle bottlenecks in latency, memory management, and throughput for applications like video analytics and digital pathology. AI-Driven Surgical Robot Kinematics Reconstruction: Investigate how endoscopic image data can be used to estimate the kinematics of surgical robots using AI techniques. Contribute to data exploration, model design, and evaluation for applications such as tool tracking and surgical scene understanding. Your Profile Student in a technical discipline (e.G. computer science, AI, engineering)Eligible to work at our HQ in Kortrijk, BelgiumProficient in Python; C++ is a plusExperience with deep learning frameworks (TensorFlow or PyTorch)Familiar with Git and DockerStrong problem-solving and debugging skillsKnowledge of image processing, computer vision, or medical data protocols (e.G. FHIR) is a plusFluent in English (spoken and written) What We Offer Hands-on experience with cutting-edge AI technologiesMentorship from experienced researchers and engineersOpportunity to contribute to real-world healthcare innovationA collaborative and dynamic work environment