Job description
You will develop a modular, flexible, and extensible plugin-based system for large-scale data processing. It will be capable of creating pipelines consisting of both classical image processing algorithms and machine learning–based methods. Within this framework, you will help implement algo-rithms for 3D image reconstruction, including typical pre- and post-processing steps. You will optimize data processing pipelines for diverse hardware and software platforms while ensuring ease of use, reusability, and interactivity. Your work will enable scientists to rapidly design, modify, and execute complex piplelines, making advanced data analysis more accessible and efficient.
Main Tasks
1. Develop and assemble a plugin-based framework for large-scale data processing pipelines with cross-technology support (CPU, GPU, multi-node systems)
2. Integrate and implement image processing algorithms, particularly for 3D imaging.
3. Optimize system performance for computing infrastructures at partner institutions.
4. Implement high-level data processing pipelines creation in Python, a visual programming tool and integrate them into an online interactive platform
Starting date
01.03.2026
Personal qualification
You have a Master’s degree in computer science, mathematics, or related disciplines. Required Skills: Good proficiency in programming, particularly with C and Python; work experience with image-processing; fluency with Linux; experience with machine learning, networking technolo-gies, HPC and parallel programming with OpenCL/CUDA is a plus.