The University of Stavanger in Norway is offering a fully funded 3-year PhD position in biostatistics, with a focus on developing advanced statistical methods to better understand, describe, and predict patient conditions during cardiac arrest and cardiopulmonary resuscitation. The research will involve the development and adaptation of statistical time to event analysis techniques, including multi-state models and joint models, to address complex medical data challenges in emergency medicine. The project is supervised by Professor Jan Terje Kvaløy from the Department of Mathematics and Physics at the University of Stavanger. The ideal candidate will have a strong background in statistics, biostatistics, or a closely related field, and should be proficient in statistical programming. Experience with time to event analysis, multi-state models, or joint models is highly desirable. The research is interdisciplinary, bridging statistics, mathematics, and medical science, and is particularly relevant for those interested in the application of quantitative methods to healthcare and patient outcomes. The position is fully funded for three years, covering salary and potentially tuition and research expenses according to university policies. The application deadline is March 12th, 2026. For more information and to apply, candidates should refer to the official job announcement linked in the post. This opportunity is ideal for motivated individuals seeking to contribute to impactful research at the intersection of statistics and medical science, particularly in the context of cardiac arrest and resuscitation. For further details, visit the official job posting or contact the supervisor. Please share this opportunity with potential candidates who may be interested in pursuing advanced research in biostatistics and medical statistics at the University of Stavanger.

The University of Stavanger is offering a fully funded, three-year PhD position in Biostatistics, focusing on the development of advanced statistical methods for emergency medicine. The successful candidate will work under the supervision of Professor Jan Terje Kvaløy, engaging in research that aims to improve the analysis and prediction of patient outcomes during cardiac arrest and cardiopulmonary resuscitation (CPR). The project leverages high-frequency clinical data to develop and adapt complex time-to-event analysis techniques, such as multi-state and joint models, to better capture the dynamic nature of cardiac events. This PhD opportunity is ideal for candidates with a strong background in statistics, biostatistics, or related quantitative fields, particularly those interested in survival analysis and computational modeling. The research is situated at the intersection of mathematical modeling and clinical application, providing a multidisciplinary environment that bridges raw data and real-time medical insights. The Department of Mathematics and Physics at the University of Stavanger offers a vibrant and collaborative research ecosystem, supporting innovation in medical statistics and precision emergency care. The position includes a competitive salary and comprehensive social benefits as part of the Norwegian public service scheme, ensuring a stable and supportive environment for academic and professional growth. The training program is designed to produce high-caliber biostatisticians capable of leading future advancements in medical statistics and emergency medicine. Applicants are required to hold a Master’s degree in statistics, biostatistics, or a closely related field, with proven interest in survival analysis and computational modeling. Application materials should include a detailed CV, academic transcripts, and a motivation letter outlining the candidate’s statistical background and alignment with the project’s objectives. The application deadline is March 12, 2026, and submissions must be made through the official Jobbnorge portal. For more information and to apply, visit the provided links.