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. Material Optimization: Use optimization algorithms to design FGMs that meet demanding performance criteria like fatigue resistance and durability. Systems Integration: Apply a systems engineering approach to
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at the Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems (ITS). The position is for a period of 2 years. Starting date no later than 01.11.2025. Job description / Project
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advertisement About the position Position as Postdoctoral Research Fellow available at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems (ITS). CENSSS is a Centre for Research
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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criteria Competencies on IOT and Sensor technologies Competency and experience in AI methods Good communication skills - written and oral Good oral and written presentation skills in Norwegian/Scandinavian
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Background in probabilistic methods Experience with the application of AI algorithms and probabilistic methods Good programming skills Personal characteristics To complete a doctoral degree (PhD), it is
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why this PhD topic fits their interest/background. This statement of research interest should not exceed one page Desired qualifications: Good knowledge in programming language theory, algorithms
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, algorithms and systems architecture. Interest in functional programming and other programming paradigms is also relevant. ETL, data wrangling and data analytics Competence in mathematics/statistics
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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world