PhD: AI-Enhanced Digital Health Data Exploration

DTU - Technical University of Denmark

Kongens Lyngby

On-site

DKK 360,000 - 480,000

Full time

25 hours ago
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Job summary

DTU – Technical University of Denmark invites an ambitious PhD student to work at the intersection of digital health, AI, LLMs, and human–computer interaction. The SCALE project investigates how interactive AI can help researchers explore and visualize multimodal health data from smartphones and wearables, using natural language to formulate queries and hypotheses.

You will collaborate with DTU and TU/e researchers and undertake a three-year full-time scholarship starting 1 January 2027, with a

Qualifications

  • Master's degree in CS, data science, AI, health tech, or HCI.
  • Strong programming skills and experience with data science and machine learning.
  • Experience with LLMs, generative AI, and AI-supported data analysis.
  • Experience in data visualization, human-AI interaction, and explainable AI.
  • Interest in working with large, heterogeneous datasets from smartphones and wearables.
  • Ability to design and implement research prototypes and conduct empirical evaluations.
  • Good communication and scientific writing skills in English; ability to work in an interdisciplinary, international team.

Responsibilities

  • Study how health researchers explore complex multimodal datasets and identify their analytical needs and workflows.
  • Design and implement an LLM-based environment translating natural-language questions into data queries, analyses, and visualizations.
  • Investigate human‑AI interaction where AI assists in identifying patterns, anomalies, and hypotheses while keeping researchers in control.
  • Work with large-scale CARP datasets containing smartphone, wearable, behavioral, physiological, and self‑reported data.
  • Evaluate the developed methods with researchers, focusing on usability, efficiency, explainability, and trust.
  • Collaborate with the sister PhD project at TU/e, including a research stay, joint development, and scientific publications.

Skills

MSc Computer Science
Data Science
Artificial Intelligence
HCI
Biomedical Engineering
Health Technology
Programming
Data Visualization
English Communication

Education

Two-year Master’s degree

Tools

Python
ML Frameworks
Data Analysis
LLMs / Generative AI

Job description

DTU – Technical University of Denmark invites an ambitious PhD student to work at the intersection of digital health, AI, LLMs, and human–computer interaction. The SCALE project investigates how interactive AI can help researchers explore and visualize multimodal health data from smartphones and wearables, using natural language to formulate queries and hypotheses.

You will collaborate with DTU and TU/e researchers and undertake a three-year full-time scholarship starting 1 January 2027, with a

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