PhD Position - Representation and Active Learning for Multi-Scale Scientific Imaging

About this position

All. Researcher profile: First Stage Researcher (R1). Area of research: PHD Thesis Job description: PhD Position - Representation and Active Learning for Multi-Scale Scientific Imaging The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning & Artificial Intelligence methods tailored to challenges in the physical sciences and engineering, bridging data-driven approaches with domain knowledge to push the boundaries of scientific discovery. Our group brings together ML engineers, AI researchers, data scientists, research software engineers, and domain scientists with a shared focus on scientific machine learning. Together, we develop and apply ML methods to tackle key challenges in the physical sciences and engineering: from accelerating simulations with surrogate models to extracting insights from complex imaging data, and building approaches that transfer across domains. In addition, we benefit from a strong connection to the Ernst-Ruska-Centre for Electron Microscopy and to the Jülich Supercomputing Center. We are particularly interested in advancing foundational machine learning methods for scientific imaging, with a focus on representation learning and data-efficient decision-making across heterogeneous data sources. Your Job The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials research. You will stren

Who can apply

Nationality and visa rules

Deadlines and how to apply

Applications close on 31 Dec 2026 (49 days from today). Apply on the official page; PhD Atlas does not collect applications.

Read the official call and apply

Official call: https://recruiting.fz-juelich.de/jobposting/5e715b65f92828b2d3d2c2823fc5fedc768abbf5?ref=helmholtz

Always read the official call and the nationality rules before you apply.