- Location
- Dresden, Sachsen, Germany
- Type
- Full-time
- Department
- Education
- Education
- PhD
Description
Postdoctoral researchers at the Center for Systems Biology Dresden (CSBD) will develop mathematics with a view to solving open problems in the life sciences. We interface with nearby experimental groups, enabling interactions with biologists for maximal scientific impact. We are committed to curiosity-driven fundamental research and to transferring concepts and structures from mathematics into biological sciences. Successful candidates should be willing to closely collaborate with at least one of the research groups of the institute.
We are particularly seeking to hire in applied and computational areas of mathematics like:
- Applied Algebraic Geometry and Topology
- Computational Geometry / Topology
- Differential Equations, Stochastics, and Mathematical Modelling
- Mathematical Statistics and Data Science
We also hire in fields exploring the interaction of mathematics and the sciences like:
- Algebraic Statistics
- Bioinformatics
- Combinatorics and Applied Algebraic Geometry
- Computer Algebra
- Data Science / Mathematics of Data
- Dynamical Systems and Differential Equations
- Information Geometry
- Higher Structures and Category Theory
- Fluid Dynamics
- Information Theory and Network Analysis
- Mathematical Biology
- Mathematical Machine Learning / Theory of Deep Learning
- Mathematical and Theoretical Physics
- Stochastic Topology
Your Qualifications:
- Doctoral degree (PhD) in Mathematics, Computer Science, or a related field.
- A strong research track record in one or more of the areas above.
- Strong analytical and problem-solving skills, with the ability to formulate and develop mathematical approaches to scientific questions.
- Excellent written and verbal communication skills in English.
- Ability to work collaboratively in an interdisciplinary environment, including with researchers from the life sciences.
Our offer:
- A 2-year full-time postdoc position with the possibility of extension.
- A diversified job in a dynamic international team in a renowned research institution
- Salary according to TVöD Bund, up to E13 based on qualifications and experience
- 31 days vacation
- Further benefits of German public service: annual special payment, comprehensive insurance and VBL pension (Federal and State Employee Retirement Fund)
- Discounted Jobticket and good public transport connections
- A positive work-life balance, including family and childcare support
- No teaching duties, but the possibility to engage with international graduate students
- Career development and training through the Max Planck Society network
Your application:
Please submit your complete application online at https://careers.mpi-cbg.de/ by 10 November 2026, stating 2026-PostDoc-AppliedMathematics-1120. Kindly include the following materials:
- Curriculum Vitae (CV) including publication list
- A one-page statement of research interests and scientific achievements (~500 words)
- Two reference letters
Inquiries about scientific fields can be sent to Heather Harrington ([email protected]). Questions regarding contract, compensation or benefits may be addressed to [email protected].
- The Max Planck Society strives for gender equality and diversity. We welcome applications from all backgrounds, regardless of gender, nationality, ethnicity, sexual orientation, religion, age, and other components of identity.
- The Max Planck Society specifically aims to increase the proportion of women in the areas in which they are underrepresented. We therefore explicitly invite women to apply.
- The Max Planck Society is further committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
- The Max Planck Society supports the compatibility of family and career and is certified according to the "berufundfamilie" ("job and family") audit.
- When you submit a job application to MPI-CBG, you are transmitting personal data. Please refer to our privacy notice for details how we collect and process information according to Art. 13 of the Datenschutz-Grundverordnung. By applying, you confirm that you have taken note of the information in our privacy notice.