PhD scholarship in AI-Augmented Sense-Making in Digital Phenotyping - DTU Health Tech

We are looking for an ambitious PhD student to work at the intersection of digital health, artificial intelligence, large language models (LLMs), and human-computer interaction.

The PhD project, SCALE – AI-Augmented Sense-Making of Large-Scale Population-Based Digital Phenotyping Datasets, will investigate how LLMs and interactive AI can help researchers explore complex health data collected from smartphones and wearables.

The goal is to develop an interactive environment where researchers can use natural language to explore and visualize multimodal data, identify patterns and anomalies, and iteratively develop hypotheses in collaboration with AI. The project will use real-world data from the Copenhagen Research Platform (CARP), including an ongoing nationwide study of cognition and mental health.

You will collaborate with researchers at DTU and at Eindhoven University of Technology (TU/e), which hosts a related "sister" PhD project. Responsibilities and tasks Your main responsibility will be to develop and evaluate new methods and interactive technologies for AI-augmented exploration of large-scale digital phenotyping data.

You will

- Study how health researchers explore complex multimodal datasets and identify their analytical needs and workflows1 …