The research project is rather open in the general area of epidemic modelling and statistical analysis, population dynamics and evolutionary modelling. Some possible problem areas include: modelling of antibiotic resistance, analyses of preferential attachment models, and investigation of identifiability issues in phylodynamics. The treated topics will be decided together with the PI and will depend on the competence and interest of the candidate.
The candidate is expected to publish methodological and/or applied papers in high impact peer-reviewed scientific journals, as well as present the results at scientific conferences.
The PI for the project is Prof. Tom Britton, Stockholm University. The candidate may very well also work with other members of the epidemic modelling group, currently consisting of about 3 Faculty, 1 Post Doc and 4 PhD students. The research project is supported by the Swedish Research Council.
Research. The position also includes up to 20 % of a combination of teaching, supervision and administrational tasks.
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
The degree should have been completed no more than three years before the deadline for applications. An older degree may be acceptable under special circumstances, which may involve sick leave, parental leave, clinical attachment, elected positions in trade unions, or similar.
In the appointment process special weight will be given to scientific expertise. A qualified applicant should have competence and experience in one or preferably several of the following areas: statistical modelling and theory, probability, stochastic processes, computer programming, phylogenetics, mathematics, high-dimensional data-analysis and infectious disease epidemiology. Since the position is within the Department of Mathematics, general knowledge of Mathematical sciences is necessary. It is also essential that you have the motivation and drive to combine relevant elements from computational/mathematical/statistical disciplines to answer epidemiological questions. A qualified applicant is expected to be fluent in both written and spoken English, and to have excellent communication and social skills.