Kristina Mikkonen

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.

The University of Oulu is recruiting a Doctoral Researcher in Health Sciences to join the HealthEduCom Lab in the Research Unit of Health Sciences and Technology, Faculty of Medicine. This four-year, full-time doctoral position is part of the Playful Entrepreneurial Minds (Playful Minds) project, funded by the Research Council of Finland, and brings together expertise from the University of Oulu, the University of Lapland, and the University of Turku, alongside national and international partners. The project focuses on hybrid intelligence, playful learning, and extended reality (XR) in higher education and working life, with a particular emphasis on healthcare education and medical education. The aim is to develop, implement, and validate a multidimensional Hybrid Intelligence-Playful Learning (HI-PL) framework that integrates playfulness, an entrepreneurial mindset, and hybrid intelligence into XR-based healthcare learning. The research uses a design-based research approach and combines qualitative, quantitative, behavioural, and physiological data. As a doctoral researcher, you will conduct research on hybrid intelligence-enabled playful learning in healthcare and medical education, contribute to co-design and validation of the HI-PL framework, and participate in workshops, pilot sessions, XR-based simulations, interviews, focus groups, and analysis of reflective learning logs. The work includes data collection and analysis on playfulness, psychological safety, wellbeing, metacognition, engagement, behavioural performance, and physiological indicators such as heart rate variability. You will also contribute to ethical review, responsible data management, open science, GDPR-compliant research, publications, and conferences. The position offers an international and multidisciplinary research environment with access to the University of Oulu's Hybrid Intelligence research profile , LEAF research infrastructure , and OuluHealth Labs . The successful candidate will receive supervision and support from the research group and consortium while building an independent research profile. Eligibility highlights include a completed relevant master's degree, eligibility for doctoral study rights at the University of Oulu Graduate School, a strong motivation to work at the intersection of healthcare education, human-AI collaboration, playful learning, and XR-based simulation, and fluent English. Experience with healthcare education, nursing or medical education, simulation-based education, design-based research, mixed methods, or physiological/behavioural data is considered an advantage. Finnish language skills are also beneficial for collaboration and data collection. The salary is approximately €2500–3200 per month before taxes , with additional performance-based pay. The application deadline is 2026-09-13 . Applicants should apply through the University of Oulu recruitment system with a cover letter, CV, research plan, and publication list if applicable.