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aerosol properties from satellite observations using advanced inversion algorithms (such as the GRASP retrieval framework: https://www.grasp-earth.com/ ). Website for additional job details https
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi
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methods for analyzing complex experimental or imaging data. Demonstrated expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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levels both within and outside the laboratory. Preferred Knowledge, Skills, and Experience Experience with synchrotron or tomographic imaging datasets. Background in inverse problems or physics-informed
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, completion deadline); and (c) learning from human feedback, e.g., imitation, inverse RL, RLHF, and interactive/intervention-based learning, so that robot behaviour remains aligned with human intent under
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potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus
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, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent
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expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer vision/machine learning. Strong foundation in at least one of: numerical