Doctoral Researcher, Multimodal AI and Physiological Sensing for Cardiometabolic Health

We are now looking for a Doctoral Researcher to join a multidisciplinary research environment spanning two faculties at the University of Oulu: the Research Unit of Health Sciences and Technology (HST), Faculty of Medicine the Center for Machine Vision and Signal Analysis (CMVS), Computer Science and Engineering, Faculty of Information Technology and Electrical Engineering The position offers a distinctive opportunity to conduct research at the intersection of artificial intelligence, signal processing, computer vision, and digital health. The objective of the position is to carry out high-quality doctoral research and to complete a doctoral degree during the four-year employment period. About the job The position is part of the Research Council of Finland-funded Academy Research Fellow project led by Dr. Xiaoting Wu: CARDIAB: Towards Cardiometabolic Intelligence—Decoding Heart Dynamics for AI-Augmented Diabetes Monitoring and Human Sustainable Wellbeing . As a doctoral researcher, you will: Conduct doctoral research on multimodal physiological sensing and AI-based analysis of cardiac dynamics. Process and analyze ECG, PPG, camera-based physiological measurements, and radar signals. Contribute to the design of data collection protocols, sensor synchronization, data annotation, and research data management. Evaluate associations between multimodal physiological patterns, diabetes-related factors, and broader indicators of cardiometabolic health. Collaborate with researchers from computer science, engineering, health sciences, and medicine. Complete doctoral studies at the University of Oulu Graduate School. Publish research findings in high-quality international journals and conferences. What we offer A fully funded, full-time doctoral researcher position for four years. Joint multidisciplinary research support from the Faculty of Medicine and the Faculty of Information Technology and Electrical Engineering. Access to expertise in artificial intelligence, computer vision, physiological signal analysis, biomedical engineering, digital health, and health sciences. Access to multimodal sensing equipment, experimental facilities, research datasets, and computational resources. Opportunities for international collaboration, conference participation, and research visits when relevant to the doctoral project. Wellness benefit ePassi covering sport, culture, and well-being. Read more about other staff benefits. Development and career options of the big organization. Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us . Our Buddy Programme and Spouse Network support you and your close ones in settling into Oulu. We have an HR Excellence in Research -quality label, which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers. Finland is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and a competitive economy. Read more about living in Oulu. Who are you? In order to succeed and enjoy the position, we require from you: Master's degree in a relevant field, such as computer science, electronic engineering, data science, or a comparable discipline. A Master's degree must have been completed before the start of the doctoral researcher's work. Strong programming and data processing skills with C/C++/Matlab/python. Foundational knowledge of machine learning, digital signal processing, and statistical data analysis. Motivation to conduct long-term doctoral research in a multidisciplinary environment. Fluent in written and spoken English. The ability to work both independently and collaboratively. You must apply for the right to study for a doctoral degree at the beginning of your employment in accordance with the requirements of the University of Oulu Graduate School (UniOGS). We also appreciate experience in physiological or biomedical signal processing. computer vision or camera-based physiological measurements. research publications, open-source software, or previous research projects. Salary The position is full-time and a fixed term for 4 years. The employment will begin as soon as possible after the completion of the recruitment process. The salary will be based on levels 2-4 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (a maximum of 50% of the job-specific component). The starting gross salary will be approx. 2500-3200 € per month (before taxes). A trial period of 6 months is applied to the position. How to apply? Interested? If yes, please apply by 5.9.2026 (23:59 Finnish local time) through our recruitment system. The application should be written in English and include the following: Cover letter, maximum one page. Introduce yourself and explain your motivation for applying, your interest in the research topi