Publisher
source

ETH Zurich

PhD Researcher in Agentic AI for Healthcare and mHealth ETH Zurich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Temporary full-time PhD position at ETH Zurich / Singapore-ETH Centre. The post mentions employee benefits such as annual leave, dental benefits, healthcare insurance coverage, and hybrid work, but no stipend amount or tuition details are stated.

Deadline

Oct 11, 2026

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Country

Switzerland

University

ETH Zurich

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Keywords

Computer Science
Machine Learning
Behavioral Science
Psychology
Biomedical Engineering
Mobile Health
Python Programming
Medical Science
Salud Pública
Software Development
Statistics
Large Language Models

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About this position

PhD Researcher – Agentic AI for Healthcare at ETH Zurich / the Singapore-ETH Centre.

This PhD project sits at the intersection of computer science, machine learning, large language models, mobile health, behavioral science, and clinical research. The research focuses on designing, developing, and validating an agentic AI platform for personalized coaching and nudging in healthcare. Application areas include mental well-being, stroke rehabilitation, falls prevention, and chronic disease management.

The successful candidate will work with multimodal health data, knowledge retrieval, adaptive decision-making, time-series analysis from smartphone sensors and usage logs, and cross-platform mobile app development. The role also involves backend infrastructure, deployment, clinical validation studies, ethics submissions, and data governance documentation. Collaboration spans researchers and partners in Singapore, including Nanyang Technological University, National University of Singapore, Tan Tock Seng Hospital, and Duke-NUS Medical School.

Eligibility highlights: Master’s degree or near completion in Computer Science, Software Engineering, Informatics, Information Systems, or a closely related field; strong Python and machine learning skills; experience with PyTorch or TensorFlow; interest in healthcare AI; and an advantage for candidates with LLM, RAG, React Native, Django/FastAPI, JavaScript/TypeScript, or AWS experience.

Funding and conditions: This is a full-time temporary PhD position. The post mentions employee benefits such as annual leave, dental benefits, healthcare insurance coverage, and hybrid work, but does not state a stipend amount.

Application: Apply online via the application portal only. Submit a cover letter with motivation, CV with two references, and university transcripts as PDFs. Questions may be directed to Prof. Florian von Wangenheim at [email protected].

Deadline: 11 October 2026, 21:59 UTC.

Funding details

Temporary full-time PhD position at ETH Zurich / Singapore-ETH Centre. The post mentions employee benefits such as annual leave, dental benefits, healthcare insurance coverage, and hybrid work, but no stipend amount or tuition details are stated.

What's required

Applicants must hold a Master’s degree or be near completion in Computer Science, Software Engineering, Informatics, Information Systems, or a closely related discipline. Strong theoretical and practical machine learning knowledge is required, including model evaluation, data pipelines, training, fine-tuning, and deployment with PyTorch or TensorFlow. Strong Python skills and genuine interest in AI for healthcare are required. Prior experience with LLM integration, prompt engineering, API integration, or retrieval-augmented generation is a significant advantage. Strong software/application development experience, ideally mHealth app development, is expected, along with familiarity with React Native, Django or FastAPI, Python, JavaScript/TypeScript, and AWS. Excellent analytical, problem-solving, and English communication skills are required, as well as the ability to work independently and in multidisciplinary teams.

How to apply

Apply online through the application portal only; email and postal applications will not be considered. Prepare a cover letter with motivation for the project, your CV with two references, and university transcripts as PDFs. Direct questions about the position to Prof. Florian von Wangenheim at [email protected], but do not send applications there.

More information can be found here

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