We are looking for a highly motivated Postdoc or PhD-Student interested in the Mathematical Modeling of Infectious Disease transmission. The project combines mathematical modeling with molecular epidemiology approaches and clinical data in order to investigate epidemiological trends and prevention strategies in HIV/HCV. Accordingly, the candidate should have in addition to a strong mathematical background, skills to deal with complex and diverse data, and a strong interest in infectious-disease epidemiology. The Project will be carried out in the context of the Swiss HIV Cohort Study (SHCS) and the Zurich Primary HIV Infection Study (ZPHI). Those studies are the ideal setting for these projects as they are highly representative for the HIV population in Switzerland and combine sequence and clinical data of extraordinary quality. The student/postdoc will work on a range of specified research projects, but will be also highly encouraged and expected to develop and investigate his own research questions. In case of a PhD-student, the PhD will take place within the PhD-Program Epidemiology and Biostatistics of the Life Science Zurich Graduate School (run jointly by the University of Zurich and the ETH Zurich). Research will be conducted at the Division of Infectious Diseases at the University Hospital of Zurich; University of Zurich (supervision: Roger Kouyos, http://www.virology.uzh.ch/aboutus/personend/forschungd/gkouyosd.html, http://www.en.infektiologie.usz.ch/research/research_groups/pages/roger-kouyos.aspx). The Division of Infectious Diseases provides a highly interdisciplinary and translational research environment with links both to clinical practice and basic science. Moreover, we are strongly interconnected with a variety of other research institutes in Zurich and beyond. In particular, we maintain strong collaborations with the Institute of Medical Virology at the University of Zurich, and the Institutes of Theoretical Biology and Computational Biology at the ETH Zurich.
Applicants should send a cover letter, a detailed CV, and contact information for two or three academic references to: roger.kouyos@uzh.ch.