Postdoctoral position in Computational Epidemiology

Uppsala University, Department of Information TechnologyIn this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document.The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.Read moreThe position is hosted by the Division of Scientific Computing (TDB) within the Department of Information Technology. As one of the world’s largest focused research environments in Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key roles in several new strategic initiatives at the University. The division currently hosts 20 PhD students, with more than 90 doctorates awarded. Several PhD alumni from the division are successful practitioners in the field of scientific computing and related areas, in industry as well as in academia.For a description of the proposed project, see this document.DutiesThe duties consist of research and development within the proposed project. Teaching duties up to 20% is included and this includes supervision of advanced-level students.RequirementsPhD degree in Computational Science, Numerical Mathematics or a foreign degree equivalent to such a PhD degree. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labor unions, etc.Additional QualificationsA suitable background includes one or more ofComputational Science or Data ScienceCompute-intensive Statistics or Applied MathematicsProficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research experience with machine learning techniques in general and neural networks in particular will be highly beneficial.About The EmploymentThe employment is a temporary position of 2 years according to central collective agreement. Full time position. Starting date as agreed. Placement: Uppsala.For further information about the position, please contact: Stefan Engblom, stefane@it.uu.se, +46 18 471 27 54In this recruitment we have replaced the cover letter with questions that you are asked to answer when making your application. The answers will be used as a part of the selection process.Please submit your application by 31 Oktober 2025, UFV-PA 2025/2483.Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.Read more about our benefits and what it is like to work at Uppsala Universityhttps://uu.se/om-uu/jobba-hos-oss/The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment.Please do not send offers of recruitment or advertising services.Submit your application through Uppsala University’s recruitment system.