The K.G. Jebsen Center for Genetic Epidemiology are always looking for new additions to our team. We will regularly announce positions, ranging from PhD-scholarships and postdocs to researchers and IT-staff.
We are in the process of building a strong scientific community within genetic epidemiology, bioinformatics, system biology and secure storage and handling of sensitive data. If you have the passion, drive and desire to participate in exciting research and development, please do not hesitate to contact us.
If you are considering moving to Trondheim, NTNU International Researcher Support (NIRS) offers counselling services and information about everything from housing, taxes and visas, to language courses, funding and practical information if you plan to bring your family along.
The Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU) has a vacancy for a permanent position as Professorship/Associate Professorship in Medicine (Biostatistics).
This is a 100% permanent position at the Department of Public Health and Nursing (ISM). The Department conducts research and teaching in the disciplines of epidemiology, medical statistics, general practice, public health, social medicine, women's health, medical conduct, bioethics, nursing and medical history. The department includes the Nord-Trøndelag Health Study (HUNT), which is the main supplier of research data for the research groups.
Together with the Department’s academic staff, the person holding the post is responsible for teaching and research in the discipline of Biostatistics. This includes the person's own research, and supervision of students in the field.
The research focus is on areas of biostatistics and statistical genetics related to population based human genetics, utilizing whole-genome sequencing and array based genotyping data, with an emphasis on integration and analysis of very large, heterogeneous datasets ("big data"). We are especially looking for candidates with an interest in methods for data integration, efficient computation and inference, data visualization, machine learning and other relevant methodology for dealing with complex and heterogeneous data.
For more in formation or to apply for the position, visit NTNU´s vacancy page.