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Field
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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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/events within cyberspace and cyber-physical systems, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI
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, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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, patents, and proprietary sources to train and validate predictive models. Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software. Collaborate with synthetic chemists
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and understanding of ML and AI architectures for hardware and software implementation Understanding of FDIR concepts, as applied in on-board space systems Understanding of avionics and onboard data
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, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project
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: developing new ideas, algorithms, software and hardware; designing, documenting, modifying and debugging software; evaluating and validating software, circuits, algorithms and architectures. Supervise research
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Job Offer: Postdoctoral Researcher Development and Implementation of an Integrated and Sustainable Architecture: Application to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https
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, software virtualisation, Cloud-RAN, Network Functions Virtualisation (NFV), and Software Defined Networking (SDN) technologies (including OpenFlow and Netconf) to support the experimental investigation