Job description
The Scientific Computing Center (SCC) is the Information Technology Center of KIT. The junior research group “Robust and Efficient AI” at SCC develops scalable, energy-efficient machine learning methods for data-intensive applications in the natural sciences, such as weather forecasting and medical diagnostics. Our research combines modern AI with high-performance computing (HPC) to enable robust analysis of extremely large datasets.
We are seeking a Postdoctoral Researcher to join the BMFTR-funded project MorphoSphere, which focuses on AI-based analysis of ultra-high-resolution 3D imaging data generated at large-scale neutron and synchrotron facilities (e.g. DESY, ESRF). These datasets enable advances in materials science and biomedical research, but they easily reach petabyte scale and cannot be processed with standard deep learning approaches. Within this project, you will develop and implement machine learning approaches that enable processing these large 3D image at full resolution.
Your contributions will include :
Starting date
as soon as possible
Personal qualification
Job requirements :
Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be : https : / / www.scc.kit.edu / en / aboutus / working-at-scc.php
PostDoc position fmd • Karlsruhe, Baden-Württemberg