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Forschungszentrum Jülich

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Postdoctoral Researcher in AI & Scientific Software Engineering for Autonomous Live-Cell Microscopy and Laboratory Automation Forschungszentrum Jülich GmbH in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term postdoctoral contract with salary and social benefits according to TVöD-Bund pay group E13 (39 hours/week).

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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Microbiology
Biomedical Engineering
Electrical Engineering
Biology
Artificial Intelligence
Microscopy
Computer Vision
Python Programming
Microbiome Research
Statistics
ML

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About this position

Forschungszentrum Jülich GmbH is advertising a Postdoctoral Researcher / AI & Scientific Software Engineer position in the Institute of Bio- and Geosciences – Biotechnology (IBG-1). The role sits at the interface of computer science, machine learning, computer vision, microbiology, microbiome research, microscopy, laboratory automation, and scientific software engineering.

The project focuses on autonomous live-cell microscopy and a high-throughput single-cell analysis platform combining microfluidics, advanced live-cell imaging, and AI-based image analysis. The successful candidate will develop machine-learning workflows for segmentation, species classification, lineage tracking, real-time analysis, adaptive imaging, feedback control, active learning, retraining strategies, and event-driven software for autonomous experiment control.

This is an interdisciplinary postdoctoral role in collaboration with experimental partners at HZI, Helmholtz Munich, and HHU. The post emphasizes scalable, maintainable, open-source software and deployment on cutting-edge experimental platforms with GPU computing infrastructure.

Eligibility highlights: a strong Master’s background in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related field; strong Python/PyTorch and scientific computing skills; experience in machine learning for image analysis and computer vision; and a solid mathematical/statistical background. Experience with C++, Linux, HPC, object detection, segmentation, multi-object tracking, time-series analysis, probabilistic modeling, streaming data, or multimodal learning is valued. Excellent English is required; German is helpful but not mandatory.

Funding: fixed-term contract with salary and social benefits under TVöD-Bund, pay group E13, for 39 hours per week.

Location: Jülich, Germany.

Application: apply online through the recruitment portal. The position is advertised until filled, so there is no fixed deadline stated in the post.

Funding details

Fixed-term postdoctoral contract with salary and social benefits according to TVöD-Bund pay group E13 (39 hours/week).

What's required

Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline. Strong Python programming skills with scientific Python and PyTorch, plus experience in scientific computing, reproducible software development, and modern software engineering practices; C++, Linux, and high-performance computing are advantageous. Strong background in machine learning for image analysis and computer vision, ideally microscopy or time-lapse imaging. Experience in object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming data processing, or multimodal learning. Strong mathematical and statistical background, excellent analytical and problem-solving skills, good communication and collaboration skills, demonstrated research track record, and excellent English; German is an advantage but not required.

How to apply

Apply online via the career portal/application information link. Use the provided contact form or career portal if you have questions about the vacancy.

More information can be found here

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