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of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware coordination of electric vehicle fleets
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. Develop and evaluate algorithmic solutions (e.g., machine learning, optimisation, statistical modelling, distributed systems), depending on project direction. Implement research prototypes and run
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credits) The Department of Counseling & Human Services seeks a part-time Instructor to teach lessons for the fall semester 2026. Including: Principles of group dynamics, group developmental stage theory
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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business, government, environmental protection, policy-research, economic development, local and international NGOs, education, law, and academia. Our PhD Program is a stand-alone degree (approximately 5-6
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for an Adjunct Lecturer position. Our current need is for one, or two, Adjunct Lecturer(s) to teach either, or both, of CE 218 Fundamentals of Fluid Mechanics and CE 427/527 Computer Applications in Hydraulics
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WDSs and soft skills for the researchers and professionals of the future. The following topics are included in these training chapters: • Artificial Intelligence and Machine Learning. • Explainable
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https