The University of Bonn is an internationally operating research institution, with 200 years of history, around 38,000 students, more than 6,000 employees and an excellent reputation at home and abroad: the University of Bonn is one of the most important universities in Germany. In the last excellence initiative, the University of Bonn was able to secure six Clusters of Excellence, more than any other German institution, for research topics including mathematics and immunology. In this excellent scientific environment, our research group (https://www.mathematics-and-life-sciences.uni-bonn.de/en) develops and applies novel mathematical approaches and software tools for data analysis and modeling. The spectrum of applications spans oncology, immunology, and epidemiology. We are intensively collaborating with world-leading experts for mathematics, immunology and neurology. Currently, we are searching for multiple PhD students and PostDocs complement our interdisciplinary team.

The open positions are:
– PostDoc in Computational Biology, developing and applying statistical and machine learning methods to study causes of metaflammation, a process important in many common disease.
– PostDoc or PhD student in Computational Epidemiology, applying methods from machine learning and federated data analysis to large-scale, multi-centre COVID-19 dataset in order to study factors relevant the infection and disease severity for acute- and long-COVID.
– PhD student in Multi-Cellular Systems Biology, applying tools from stochastic multi-scale and statistical modeling on the study of virus transmission in biological tissues.
– PhD student at the interface of Computational Epidemiology and Finances, integrating epidemiological and micro-economic models for (optimal) policy making.
– Scientific software developer (ideally with PhD degree), focusing on mathematical modelling and data analysis
See for details: https://www.mathematics-and-life-sciences.uni-bonn.de/en/jobs

Job description:
– Data management and statistical analysis of biological data (e.g., single-cell omics, high-throughput histology and patient data) and/or
– Mathematical modeling of biological processes (incl. ordinary and partial differential equations, stochastic models) and/or
– Development of statistical inference and machine learning methods.
– Interpretation of analysis results.
– Collaboration with biologists and medical researchers.
– Publication of scientific results at conferences and in journals.
– For PostDocs also co-supervision of students.

Your profile:
– Master / PhD degree in (bio-)informatics, computational biology, computer science, mathematics, physics, or related fields
– Experience in some of the following fields: mathematical modelling (e.g. ODE and PDEs for biological processes), numerical optimization, machine learning, bioinformatics, and high-performance computing
– Programming skills (preferably Python, C++ and/or R)
– Proficiency in written and spoken English
– Passion for science and scientific work

Our offer:
– Working in an innovative, well-equipped and scientifically stimulating environment
– An international and diverse group of PhD students and Postdocs
– A professional career development program for both PhD students and Postdocs
– Initial contract for 3 years with a standard public service salary (PhD student: 75% TV EntgO Bund EG 13; PostDoc: 100% TV EntgO Bund EG 13)
– Postdocs will have opportunities to obtain additional external funding and develop an independent research program during postdoctoral training.

The University of Bonn is committed to diversity and equal opportunity. It is certified as a family friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore urges women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). Applications from suitable individuals with a certified serious disability and those of equal status are particularly welcome.

Application documents (cover letter, CV, certificates, contact details of two referees) should be submitted as soon as possible as a single PDF file via email.

Contact: Jan Hasenauer, jan.hasenauer@uni-bonn.de