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, R) and geospatial tools (e.g., ArcGIS, QGIS ), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud). An interest in learning
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systems ● PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience. Preferred skills and experience: ● Experience
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career taken into consideration. Additionally, your resume must comprise: A PhD or equivalent Research experience in Software Engineering, Distributed Software Systems, Edge and Cloud Computing A
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, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The SnT is looking for a Postdoctoral
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, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Successful candidates will join the young, vibrant, and
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the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud
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. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS