Fachbereich Mathematik und Informatik
Institut für Mathematik
Work group "Discrete Biomathematics"

research assistant (postdoc)
full-time job
limited to three years
Entgeltgruppe 13 TV-L FU
reference code: SynTurPat-2017

The Discrete Biomathematics group consists of researchers from mathematics, computer science, bioinformatics and bioengineering that share a passion for tackling the challenges arising in the interdisciplinary fields of systems biology, systems medicine and synthetic biology. We develop modeling and analysis approaches for complex molecular interaction networks with applications in cancer research, infectious disease and developmental biology. Our theoretical work is rooted in discrete methods from math and computer science such as boolean network modeling, graph theoretical tool boxes and formal verification approaches, which we further extend and integrate with continuous, stochastic and statistical methods. While the work in our group is purely dry lab, projects are undertaken in close cooperations with colleagues from the life sciences, both in Berlin and abroad.

Job description:

The successful candidate will develop and implement mathematical modeling and analysis approaches in the field of synthetic biology within the project „A synthetic approach towards understanding the formation of robust Turing patterns in developmental biology“. The goal of the project is to uncover, through theoretical approaches, optimal designs for molecular networks capable of generating complex and robust patterns via unsupervised self-organization. Best candidates will then be realized in the wet lab and evaluated in living cells. The work will be conducted in close collaboration with colleagues from computational and synthetic biology from the Francis Crick Institute and Imperial College London.


PhD degree in Mathematics, Computer Science, Bioinformatics or a related field.


In-depth knowledge in mathematical modeling, in particular using discrete approaches such as Boolean networks, and scientific software development; experience in formal verification methods such as ASP or model checking; basic knowledge in molecular biology; enthusiasm for participating in international and interdisciplinary collaborations; very good English skills.

For further information please contact Prof. Dr. Heike Siebert (

All applications quoting the reference code should be addressed no later than January 3rd, 2018 to Ekaterina Engel: or to

Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Mathematik
Frau Ekaterina Engel
Arnimallee 6
14195 Berlin (Dahlem)

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