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Deadline: none (posted 2025/05/13) Position Description: Position Description We are pleased to announce exciting postdoctoral opportunities within the Inverse Problems and AI group at Sun Yat-sen
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objective of the PDRA will be to develop new methodologies which allow geodetic inversion models used on natural volcano datasets to be applied to surface deformations produced by analogue volcano models
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imaging, inverse problems and the foundations of deep learning. The role offers a highly interdisciplinary research environment, with close interaction with museum scientists, conservators and art
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) parameters and state variables. Inferring these parameters and/or states from large amounts of possibly high-resolution data leads to computationally intensive inverse problems. The team aims at developing
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constituents of its microstructure. You will develop inverse-analyses of the in situ imaging experiments to extract the non-linear stress/strain relationships. You will design critical in situ X-ray and neutron
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in data analysis or modeling. Experience with inverse modeling approaches. Required documents: CV with a clause: "I consent to the processing of my personal data contained in my job application for
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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Postdoc position to support international research and capacity-building projects employing elect...
Imaging of Groundwater in Complex Ethiopian Geological Settings (2025–2028)”, implemented in partnership with the Ethiopian Ministry of Water and Energy (MoWE) and Addis Ababa University (AAU). Job
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19 Dec 2025 Job Information Organisation/Company University of Split, Faculty of civil engineering, architecture and geodesy Department SARLU or Hydrotechnical Engineering Research Field Other
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experiments; and interact broadly with research groups at MIT, CFS and the broader fusion community. Job Requirements REQUIRED: A PhD in plasma physics or related area; exceptional computational workflow