Staff Scientist / PostDoc – Machine Learning for Scientific Ap...
Core
Developing novel machine learning methods, deep learning models, and efficient training schemes for scientific applications in imaging, remote sensing, and microscopy.
Role type
Staff Scientist / PostDoc (Research Scientist)
Builds
Production ML models and research outputs for scientific domains like neuro/bio sciences, plant sciences, and healthcare.
Domain
Scientific research, Computer Vision, Machine Learning, Physics-informed reconstruction
Deliverable
production ML models | research
Required skills
Machine learning model design, Deep learning, Computer vision, Image processing, Physics-informed reconstruction, Mathematical modeling, Algorithm development, High-performance computing (HPC) programming, Scientific writing, Grant proposal writing
Preferred skills
Experience with foundation models, Uncertainty quantification, Model explainability, C++ programming
Technologies
Python, C++, JUPITER supercomputer
Responsibilities
Develop novel learning methods and adapt foundation models for scientific use cases; Investigate theoretical aspects of robustness, explainability, and reliability of AI models; Supervise BSc, MSc, and PhD student projects; Collaborate with experts at the Jülich Supercomputing Centre to run algorithms on large distributed systems; Write research articles, reports, and grant proposals; Present work at international conferences.
Seniority
Senior, hands-on IC with research leadership