Karlsruhe Institute of Technology (KIT) – The University in the Helmholtz Association
In close partnership with society, KIT develops solutions for urgent challenges – from climate change, energy transition and sustainable use of natural resources to artificial intelligence, sovereignty and an aging population. As The University in the Helmholtz Association, KIT unites scientific excellence from insight to application-driven research under one roof – and is thus in a unique position to drive this transformation. As a University of Excellence, KIT offers its more than 10,000 employees and 22,800 students outstanding opportunities to shape a sustainable and resilient future.
KIT – Science for Impact.
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.
Academic Staff Member (f/m/d) in DNA-Based Information Processing Systems
- Institute of Information Security and Dependability (KASTEL)
- limited
- as soon as possible
- Full-time
- 59,300.00 to 63,600.00 EUR gross per year
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Your Tasks
- 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.
- Demonstrable interest in exploratory interdisciplinary research.
- Proficiency in English, very good speaking and writing skills.
- Experience in biology is a plus.
We Offer
Science for Impact
Engage with topics of societal relevance - in an excellent scientific environment that enables change.
Family-friendliness
The “KIT Family +- program assists you in reconciling work and family life by offering childcare services, holiday activities, a parent child office space, and assistance with caring for relatives.
Flexible Working Hours
Take advantage of flexible hours schemes, remote work options, part time models, and a 30 day annual leave entitlement to achieve an optimal work life balance.
Stay Healthy
Under the motto “Fit at KIT – Body, Mind and Soul,- we promote your well being through fitness classes, mental health programmes, and regular preventive health examinations.
Individualised Extra Benefits
Enjoy a corporate pension (VBL), a €25 monthly contribution toward a JobTicket BW, plus a broad selection of cultural and recreational programmes.
Career-Building and Developmental Opportunities
We provide you with a structured onboarding program, a broad spectrum of continuing education options, and personalised support, thereby fostering your individual growth.
Contact and further job information
Salary
Salary category 13 TV-L; classification is based on personal and professional qualifications.
Location of deployment
Karlsruhe (and Eggenstein-Leopoldshafen)
Contract duration
Limited for an initial period of 12 months with an extension option for up to four years in total.
Contact person in line-management
Prof. Dr. Ralf Reussner
ralf.reussner@kit.edu
Prof. Dr. Lennart Hilbert
lennart.hilbert@kit.edu
If you have general questions about the application process, please contact
Kimberley Bender
Personalservice (PSE)
kimberley.bender@kit.edu
+49 721 608-45411
At KIT we value the diversity of our employees; different perspectives and backgrounds enrich our work. We therefore welcome applications from all candidates. Women are especially encouraged to apply. Applications from recognized severely disabled individuals are given preferential consideration when qualifications are equal.
Application up to: 2026-10-15
Job posting number: 1219/2026
KIT processes your personal data in accordance with this Privacy Policy.
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