Doctoral Researcher, Multimodal AI and Physiological Sensing for Cardiometabolic Health University of Oulu in Finland

The University of Oulu in Finland is recruiting a Doctoral Researcher for a multidisciplinary project at the intersection of multimodal AI, physiological sensing, signal processing, computer vision, and digital health. The role sits across the Research Unit of Health Sciences and Technology (Faculty of Medicine) and the Center for Machine Vision and Signal Analysis (Faculty of Information Technology and Electrical Engineering), offering a strong research environment for candidates interested in biomedical data analysis and AI-driven health technologies.

The position is part of the Research Council of Finland-funded Academy Research Fellow project CARDIAB: Towards Cardiometabolic Intelligence—Decoding Heart Dynamics for AI-Augmented Diabetes Monitoring and Human Sustainable Wellbeing, led by Dr. Xiaoting Wu, with Prof. Kristina Mikkonen listed as contact. The doctoral researcher will work on multimodal physiological sensing and AI-based analysis of cardiac dynamics, including processing and analysis of ECG, PPG, camera-based physiological measurements, and radar signals. The project also involves data collection protocol design, sensor synchronization, annotation, and research data management, alongside investigation of links between multimodal physiological patterns, diabetes-related factors, and broader cardiometabolic health indicators.

This is a fully funded, full-time, four-year doctoral position. The starting gross salary is approximately EUR 2,500–3,200 per month before taxes, with an additional performance-based salary component. The project offers access to expertise in artificial intelligence, computer vision, physiological signal analysis, biomedical engineering, digital health, and health sciences, as well as multimodal sensing equipment, experimental facilities, datasets, and computing resources. International collaboration, conference participation, and research visits may be supported when relevant.

Eligibility highlights include a completed master’s degree in a relevant field such as computer science, electronic engineering, or data science; strong programming skills in C/C++/Matlab/Python; foundational knowledge of machine learning, digital signal processing, and statistical analysis; and fluency in written and spoken English. Experience in physiological or biomedical signal processing, camera-based physiological measurements, open-source software, or prior research projects is considered an advantage. The selected candidate must also apply for the right to study for a doctoral degree at the University of Oulu Graduate School at the start of employment.

The application deadline is 5 September 2026 (23:59 Finnish local time). Applicants should submit a cover letter, CV, and a research plan with references through the recruitment system. The position is based in Oulu, Finland, and is designed for candidates aiming to complete doctoral research in a high-impact, collaborative environment focused on AI-enabled cardiometabolic health.