As a leading research institution for microbial biotechnology, the Institute of Bio- and Geosciences – Biotechnology (Ibg-1) focuses on molecular and applied microbiology. Interdisciplinary teams are developing biotechnological processes for tomorrow's industry, with a focus on increasingly automated and miniaturised experiments.
Do you want to push the boundaries of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy, intelligent experiment control, and scientific workflows. Join an interdisciplinary team at the interface of AI, microbiology, and laboratory automation to shape the future of data-driven live-cell analysis.
Microorganisms in the gut microbiome play a key role in health and disease, yet their behavior in complex and dynamic microenvironments remains poorly understood. Within a Helmholtz collaboration, we are developing a high-throughput single-cell analysis platform that combines microfluidics, advanced live-cell microscopy, and AI-based image analysis to study microbial consortia. You will drive the development of the next generation of image analysis, scientific software, and intelligent experiment control for microfluidic live-cell analytics in close collaboration with experimental partners at Hzi, Helmholtz Munich, and Hhu.
You will present your results at international conferences, publish in leading peer-reviewed journals, and contribute to the supervision and training of students within the consortium.
We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:
We offer a fixed-term contract in an exciting and varied role within an international, interdisciplinary working environment. Salary and social benefits conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group E13.
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.
Tagged as: Life Sciences
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