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

دربارهٔ این موقعیت

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

چه کسی می‌تواند درخواست بدهد

تابعیت و ویزا

مهلت و روش درخواست

درخواست تا 31 دسامبر 2026 (49 روز از امروز) باز است. درخواست را در صفحهٔ رسمی بفرستید؛ PhD Atlas درخواست جمع نمی‌کند.

فراخوان رسمی را بخوانید و درخواست بدهید

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

همیشه فراخوان رسمی و قواعد تابعیت را پیش از درخواست بخوانید.