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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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energy, and condensed matter applications. The scientists at BNL who are part of C2QA’s theory and algorithm thrust span these different domains in physics. We are thus particularly interested in
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Engineer, you will specialize in engineering
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Engineer, you will specialize in engineering
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Research Scientist, you will specialize in
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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate with leading academics
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large