Summary
The University of Oulu is offering a fully funded, four-year doctoral researcher position in a multidisciplinary environment spanning the Faculty of Medicine and the Faculty of Information Technology and Electrical Engineering. The successful candidate will work on the Research Council of Finland-funded project CARDIAB, focusing on decoding heart dynamics using multimodal AI and physiological sensing to advance diabetes monitoring and human well-being.
PhD in AI & Cardiometabolic Health at the University of Oulu, Finland
Quick Facts
| Feature | Details |
| Position | Doctoral Researcher |
| Institution | University of Oulu |
| Funding | Fully Funded (Salary: ~2500-3200 €/month gross) |
| Duration | 4 Years |
| Level of Study | PhD / Doctoral Degree |
| Deadline | September 5, 2026 |
Subject Area
This multidisciplinary research intersects several fields, including:
- Computer Science and Data Science
- Electronic and Biomedical Engineering
- Artificial Intelligence and Machine Learning
- Digital Health and Health Sciences
- Medicine (Cardiometabolic Health)
Location
Oulu, Finland – The University of Oulu is a globally recognized research university located in a vibrant, safe, and highly livable Finnish city known for its excellent quality of life.
Eligibility
To succeed in this position, applicants must meet the following criteria:
- Education: A Master’s degree in a relevant field (e.g., computer science, electronic engineering, data science, or a comparable discipline), completed before the start of the position.
- Technical Skills: Strong programming and data processing skills using C, C++, MATLAB, or Python.
- Knowledge Base: Foundational knowledge of machine learning, digital signal processing, and statistical data analysis.
- Language: Fluency in written and spoken English.
- Academic Requirements: Must be eligible to apply for the right to study for a doctoral degree at the University of Oulu Graduate School (UniOGS) at the beginning of employment.
- Preferred Qualifications: Experience in physiological/biomedical signal processing, computer vision/camera-based measurements, or prior research publications and projects.
Scholarship Description
As a doctoral researcher, you will conduct cutting-edge research on multimodal physiological sensing and AI-based analysis of cardiac dynamics. Key responsibilities include:
- Processing and analyzing ECG, PPG, camera-based physiological measurements, and radar signals.
- Contributing to data collection protocols, sensor synchronization, and data annotation.
- Evaluating the associations between physiological patterns, diabetes-related factors, and cardiometabolic health.
- Publishing findings in high-quality international journals and conferences.
Benefits: This position provides a starting gross salary of approximately 2,500 to 3,200 € per month, access to state-of-the-art multimodal sensing equipment and computational resources, a wellness benefit (ePassi), and extensive support networks for international researchers relocating to Oulu.
How to Apply
Eligible candidates must apply through the university’s online recruitment system. The application must be written in English and include:
- Cover Letter (max 1 page): Introduce yourself, your motivation, your interest in the topic, and how your background supports the research.
- CV: Formatted according to the guidelines of the Finnish Advisory Board on Research Integrity.
- Research Plan (max 3 pages + references): Formatted following the guidelines of the Academy of Finland.
Shortlisted candidates will be asked to submit their diplomas and transcripts, provide references, and attend an interview.
Last Date
Submit your application by September 5, 2026 (23:59 Finnish local time).
