About the Role
Company: FZI Forschungszentrum Informatik
Title: Scientific Staff Member (m/f/d) in Simulation and Spatial Data Science for Emergency Medical Services
Full-time | Fixed-term | Karlsruhe | Starting immediately
Logistics, Simulation, Geospatial Analysis, Emergency Medical Services, Service Planning, Data Science, Operations Research
Are you eager to work in an innovative research environment? Do you seek a dynamic team where you can grow and contribute meaningfully? Above all—do you want to actively shape the future? Then you’ve found your ideal place at FZI!
As a non-profit research institution, we conduct applied computer science research on exciting and diverse topics.
Our Mission
In addition to transferring research results to industry, public administration, and society, we are committed to training future experts and leaders for the digital transformation.
What Awaits You
Within the Competence Center for Logistics in Emergency Medical Services, we establish the methodological and structural foundation to sustainably improve data-driven decision support in emergency response.
Our Core Tasks
Analyze, model, and solve logistical challenges in emergency medical services using methods from operations research and data science.
Develop simulation models to represent emergency service processes and structures.
Integrate historical incident data with geospatial and network data to design and test spatiotemporal forecasting models for incident patterns.
Evaluate developed methods for robustness against various sources of uncertainty.
Apply scientific methods from data science and operations research to practical problems in emergency services.
Your Profile
Completed master’s degree (or equivalent diploma) in industrial engineering, (business/geo-)informatics, (technical/economic) mathematics, statistics, or a related field—with a focus on the application of operations research methods.
Strong experience in modeling and implementing discrete-event and/or agent-based simulation models (e.g., using AnyLogic).
Proven experience in developing data-driven, spatiotemporal forecasts and planning scenarios.
Proficiency in at least one programming language (e.g., Java, Python, Rust).
Interest in GIS-related methods and in processing, analyzing, and visualizing geospatial data.
High level of initiative, meticulous and conscientious work ethic, and strong motivation for application-oriented scientific research.
Excellent command of both German and English (written and spoken).
What We Offer
A collaborative culture rooted in shared enthusiasm, values, and mutual support—everyone uses Du (informal you) and helps one another.
Trust-based working hours, flexible work arrangements, and 30 vacation days per year (for full-time roles) to help you balance personal and professional life.
Compensation according to TV-L pay scale EG 13 (subject to qualification and experience).
Personal development is central to us: Each team member receives a dedicated training budget and regular feedback sessions. Additional support is available for leisure and health.
Our director, Prof. Dr. Stefan Nickel, currently supervises several PhD projects on simulation and optimization in emergency medical services. We provide professional support in a top-tier research and application environment—please mention your interest in pursuing a PhD during your application.
Numerous opportunities to shape the future of FZI and a strong network across academia and industry.
Learn More
Get to know our team and future work area (#)
Discover what it’s like to work at FZI (#)
Explore our full range of benefits (#)
Have we sparked your interest? Apply now—we look forward to meeting you!
For questions regarding the position, please contact Boris Amberg at +49 721 9654-316.
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