Internship: Observable Conversational Interface (AI Research – Cardiac Healthcare)

Philips is offering an internship in its advanced R&D organization focused on breakthrough innovations in cardiac healthcare, working at the intersection of sensors, AI, and patient-monitoring technologies to develop next-generation solutions for individuals with heart conditions.

Internship opportunity in AI Research (Cardiac Healthcare): Observable Conversational Interface

Join a multidisciplinary research team driving innovations for wearable cardiac sensors and patient-facing interactions. This internship focuses on the software and AI side of research, specifically on developing observable, safe, and reliable conversational interfaces powered by large language models (LLMs). You will contribute directly to technology that supports real-world healthcare applications.

Your role:

• Study existing scientific and technical literature on conversational systems for patient interaction
• Define observability criteria for patient-facing LLM-based systems
• Develop monitoring and anomaly-detection mechanisms to ensure model and data integrity
• Benchmark and optimize hyperparameters to improve LLM performance while reducing computational cost under operational constraints
• Contribute to building robust monitoring pipelines for deployed AI systems
• Deliver a technical note summarizing findings, recommendations, and validated approaches
• Collaborate closely with an R&D team working on sensors, AI, and advanced innovations for cardiac healthcare

You're the right fit if:

• You are enrolled in an MSc program in Artificial Intelligence
• You are looking for a thesis-possible internship
• You have practical experience in AI/ML work (evidence through coursework, projects, or prior roles)
• You are structured, organized, analytical, and attentive to detail
• You are fluent in English
• You are available to work onsite in Eindhoven
• You are motivated to work in an R&D environment focused on sensors, AI, and cardiac healthcare technologies