The University of Oulu is inviting applications for a fully funded, 4-year Doctoral Researcher position. This multidisciplinary project bridges artificial intelligence, signal processing, computer vision, and digital health to decode cardiac dynamics for AI-augmented diabetes monitoring and cardiometabolic health.
PhD in AI & Digital Health at the University of Oulu, Finland
Key Information Overview
| Feature | Details |
| Position | Doctoral Researcher (PhD Candidate) |
| Host Institution | University of Oulu |
| Faculties | Faculty of Medicine & Faculty of Information Technology and Electrical Engineering |
| Funding Type | Fully Funded (Employment Contract) |
| Gross Salary | Approx. €2,500 – €3,200 / month |
| Contract Duration | 4 Years (Full-time) |
| Location | Oulu, Finland |
| Application Deadline | September 5, 2026 (23:59 Finnish local time) |
Subject Area
- Artificial Intelligence & Machine Learning
- Multimodal Physiological Sensing & Signal Processing (ECG, PPG, Radar)
- Computer Vision & Camera-Based Sensing
- Biomedical Engineering & Digital Health
- Cardiometabolic Health / Diabetes Monitoring
Location
- City: Oulu
- Region: Pohjois-Pohjanmaa
- Country: Finland
Eligibility Criteria
- Degree Requirement: A completed Master’s degree in a relevant field (e.g., Computer Science, Electronic Engineering, Data Science, or comparable discipline) prior to the start date.
- Technical Skills: Strong programming and data processing skills in C, C++, MATLAB, or Python.
- Knowledge Base: Foundational knowledge of machine learning, digital signal processing, and statistical data analysis.
- Language Proficiency: Fluent written and spoken English.
- Academic Admission: Must apply for and obtain doctoral study rights at the University of Oulu Graduate School (UniOGS).
- Preferred Assets: Prior experience in physiological/biomedical signal processing, computer vision, research publications, or open-source software projects.
Scholarship & Position Description
The doctoral position is part of the Research Council of Finland-funded project CARDIAB: Towards Cardiometabolic Intelligence—Decoding Heart Dynamics for AI-Augmented Diabetes Monitoring and Human Sustainable Wellbeing, led by Dr. Xiaoting Wu.
What the Position Offers:
- Full Financial Support: 4-year full-time university employment with a monthly starting gross salary of approximately €2,500 – €3,200 (levels 2–4 of the Finnish university salary scale plus performance components).
- Dual-Faculty Environment: Joint supervision and collaboration across the Research Unit of Health Sciences and Technology (HST) and the Center for Machine Vision and Signal Analysis (CMVS).
- Resources & Mobility: Access to advanced sensing equipment, computational resources, international conferences, and research visit opportunities.
- Employee Benefits: Finnish social security, ePassi wellness benefits (sports, culture, well-being), and relocation support through the Buddy Programme and Spouse Network.
How to Apply
Applications must be submitted in English through the official University of Oulu Recruitment Portal and must include:
- Cover Letter (Max 1 page): Detailing personal background, motivation, interest in the research topic, and relevant academic preparation.
- Curriculum Vitae (CV): Prepared according to the guidelines of the Finnish Advisory Board on Research Integrity (TENK).
- Research Plan (Max 3 pages + references): Formatted following the Academy of Finland guidelines.
Last Date to Apply
- Deadline: September 5, 2026 (23:59 Finnish Local Time)
