Karlsruher Institut für Technologie (KIT) Campus Nordkit.edu
Academic Staff Member (f/m/d) in DNA-Based Information Processing Systems
- Location
- Karlsruhe
- Remote
- Hybrid
- Employment type
- Full-time
- Experience
- Mid-Level
- Field
- Social Work & Pedagogy
- Application deadline
- Oct 15, 2026
Today
The research groups of Prof. Ralf Reussner (KASTEL – Institute of Security and Dependability / CRC 1608 Convide) and Prof. Lennart Hilbert (Institute of Biological and Chemical Systems - Biological Information Processing IBCS-BIP) are working together to understand how systems in synthetic biology can be designed with multi-view modeling paradigms as used in software engineering and other engineering disciplines. The project pioneers conceptual and technical synergies between using engineering inspired multi-model frameworks and biological systems that use DNA as both, a building material and a logical information code, inspired by transcriptional organization in the cell nucleus. The goal is to explore an example case how principles from consistent multi-view modeling of technical systems can inspire new approaches of modelling biological information processing, and vice versa.
Your Tasks
With the biology position filled, we are now looking for a computer scientist with a background in model-driven software development to complement our team. You will play a key role in this highly exploratory and interdisciplinary project, combining computational, theoretical, and experimental approaches to design artificial, DNA-based information processing systems inspired by transcriptional organization in the biological cell nucleus. Key aspects of the role include:
- Development of theoretical concepts and software frameworks
- Integration of multi-model and multi-view structural and simulation models into a consistency-directed framework
- Data-driven refinement of digital representation models
- Automation of data processing and evidence-based inference tasks
- Exchange with experimental biological laboratory scientists
Your Profile
- Excellent master's degree in computer science or related subjects.
- Background in model-driven software development.
- Strong demonstrable commitment to research.
Salary for this role
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